{"results":[{"id":"ss_77e4f80fa8445c5fa7d3d575ad591fa8b1a86647","title":"Practical recommendations for critical care and anesthesiology teams caring for novel coronavirus (2019-nCoV) patients","authors":[{"name":"R. Wax"},{"name":"M. Christian"}],"abstract":"A global health emergency has been declared by the World Health Organization as the 2019-nCoV outbreak spreads across the world, with confirmed patients in Canada. Patients infected with 2019-nCoV are at risk for developing respiratory failure and requiring admission to critical care units. While providing optimal treatment for these patients, careful execution of infection control measures is necessary to prevent nosocomial transmission to other patients and to healthcare workers providing care. Although the exact mechanisms of transmission are currently unclear, human-to-human transmission can occur, and the risk of airborne spread during aerosol-generating medical procedures remains a concern in specific circumstances. This paper summarizes important considerations regarding patient screening, environmental controls, personal protective equipment, resuscitation measures (including intubation), and critical care unit operations planning as we prepare for the possibility of new imported cases or local outbreaks of 2019-nCoV. Although understanding of the 2019-nCoV virus is evolving, lessons learned from prior infectious disease challenges such as Severe Acute Respiratory Syndrome will hopefully improve our state of readiness regardless of the number of cases we eventually manage in Canada. Une urgence sanitaire mondiale a été déclarée par l’Organisation mondiale de la Santé alors que l’épidémie de 2019-nCoV se répand dans le monde et que des cas ont été confirmés au Canada. Les patients infectés par le 2019-nCoV sont à risque d’insuffisance respiratoire et peuvent nécessiter une admission à l’unité de soins intensifs. Lors d’une prise en charge optimale de ces patients, il est indispensable de prendre soin d’exécuter rigoureusement les mesures de contrôle des infections afin de prévenir la transmission nosocomiale aux autres patients et aux travailleurs de la santé prodiguant les soins. Bien que les mécanismes précis de transmission ne soient pas encore connus, la transmission d’humain à humain peut survenir, et le risque de dissémination aérienne pendant les interventions médicales générant des aérosols est préoccupant dans certaines circonstances spécifiques. Cet article résume des considérations importantes en ce qui touche au dépistage des patients, aux contrôles environnementaux, au matériel de protection personnelle, aux mesures de réanimation (y compris l’intubation), et à la planification des activités à l’unité de soins intensifs alors que nous nous préparons à la possibilité de nouveaux cas importés ou d’éclosions locales du 2019-nCoV. Bien que la compréhension du virus 2019-nCoV continue d’évoluer, nous espérons que les leçons retenues des éclosions précédentes de maladies infectieuses telles que le syndrome respiratoire aigu sévère nous permettront d’améliorer notre degré de préparation, indépendamment du nombre de cas que nous traiterons au Canada.","source":"Semantic Scholar","year":2020,"language":"en","subjects":["Medicine"],"doi":"10.1007/s12630-020-01591-x","url":"https://www.semanticscholar.org/paper/77e4f80fa8445c5fa7d3d575ad591fa8b1a86647","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12630-020-01591-x.pdf","is_open_access":true,"citations":922,"published_at":"","score":91.66},{"id":"ss_9a7b8c9e30ab3697fece03b68bf60e7286e25a6c","title":"Remimazolam: pharmacological characteristics and clinical applications in anesthesiology","authors":[{"name":"K. Kim"}],"abstract":"A novel ultra-short-acting benzodiazepine (BDZ), remimazolam (CNS 7056), has been designed by ‘soft drug’ development to achieve a better sedative profile than that of the current drugs. Notably, the esterase linkage in remimazolam permits rapid hydrolysis to inactivate metabolites by non-specific tissue esterase and induces a unique and favorable pharmacological profile, including rapid onset and offset of sedation and a predictable duration of action. Similar to other BDZs, its sedative effects can be reversed using flumazenil, a BDZ antagonist. The pharmacokinetics and pharmacodynamics of remimazolam are characterized by relatively high clearance, small steady-state volume of distribution, short elimination half-life, short context-sensitive half-life, and fast onset and recovery, indicating rapid elimination, minimal tissue accumulation, and good control. In addition, remimazolam possesses a superior safety profile, including low liability for cardiorespiratory depression and injection pain, making it a preferred hypnotic agent in various clinical settings. Early clinical investigations suggest that remimazolam is well tolerated and effective for procedural sedation and for induction and maintenance of general anesthesia. To date, however, the clinical use of remimazolam has been confined to a few volunteer studies and a limited number of clinical investigations. Therefore, further studies regarding its recovery issues or postoperative complications, characteristics of electroencephalogram changes, and cost-benefit analyses are required to facilitate its widespread use.","source":"Semantic Scholar","year":2022,"language":"en","subjects":["Medicine"],"doi":"10.17085/apm.21115","url":"https://www.semanticscholar.org/paper/9a7b8c9e30ab3697fece03b68bf60e7286e25a6c","pdf_url":"https://www.anesth-pain-med.org/upload/pdf/apm-21115.pdf","is_open_access":true,"citations":206,"published_at":"","score":72.18},{"id":"ss_94ae261ee01bd6be58c48cce83c1f4d927432c3a","title":"Artificial Intelligence in Anesthesiology","authors":[{"name":"D. Hashimoto"},{"name":"E. Witkowski"},{"name":"Lei Gao"},{"name":"O. Meireles"},{"name":"Guy Rosman"}],"abstract":"Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial intelligence in anesthesiology: (1) depth of anesthesia monitoring, (2) control of anesthesia, (3) event and risk prediction, (4) ultrasound guidance, (5) pain management, and (6) operating room logistics. Based on papers identified in the review, several topics within artificial intelligence were described and summarized: (1) machine learning (including supervised, unsupervised, and reinforcement learning), (2) techniques in artificial intelligence (e.g., classical machine learning, neural networks and deep learning, Bayesian methods), and (3) major applied fields in artificial intelligence. The implications of artificial intelligence for the practicing anesthesiologist are discussed as are its limitations and the role of clinicians in further developing artificial intelligence for use in clinical care. Artificial intelligence has the potential to impact the practice of anesthesiology in aspects ranging from perioperative support to critical care delivery to outpatient pain management. This scoping review of artificial intelligence in anesthesiology summarizes six areas of research: (1) depth of anesthesia monitoring, (2) control of anesthesia, (3) event/risk prediction, (4) ultrasound guidance, (5) pain management, and (6) operating room logistics. Supplemental Digital Content is available in the text.","source":"Semantic Scholar","year":2020,"language":"en","subjects":["Medicine"],"doi":"10.1097/ALN.0000000000002960","url":"https://www.semanticscholar.org/paper/94ae261ee01bd6be58c48cce83c1f4d927432c3a","pdf_url":"https://pubs.asahq.org/anesthesiology/article-pdf/132/2/379/461702/20200200_0-00027.pdf","is_open_access":true,"citations":218,"published_at":"","score":70.53999999999999},{"id":"ss_bd3d02aa266d85b6bd86525d2edf34e900410c5a","title":"Spanish Society of Anesthesiology, Reanimation and Pain Therapy (SEDAR) Spanish Society of Emergency and Emergency Medicine (SEMES) and Spanish Society of Otolaryngology, Head and Neck Surgery (SEORL-CCC) Guideline for difficult airway management.","authors":[{"name":"M. Gómez-Ríos"},{"name":"J. Sastre"},{"name":"X. Onrubia-Fuertes"},{"name":"T. López"},{"name":"A. Abad-Gurumeta"},{"name":"R. Casans-Francés"},{"name":"D. Gómez-Ríos"},{"name":"J. C. Garzón"},{"name":"V. Martínez-Pons"},{"name":"M. Casalderrey-Rivas"},{"name":"M. Á. Fernández-Vaquero"},{"name":"E. Martínez-Hurtado"},{"name":"R. Martín-Larrauri"},{"name":"L. Reviriego-Agudo"},{"name":"U. Gutiérrez-Couto"},{"name":"J. García-Fernández"},{"name":"A. Serrano-Moraza"},{"name":"Luis Jesús Rodríguez Martín"},{"name":"Carmen Camacho Leis"},{"name":"Salvador Espinosa Ramírez"},{"name":"José Manuel Fandiño Orgeira"},{"name":"M. J. V. Lima"},{"name":"M. Mayo-Yáñez"},{"name":"P. Parente-Arias"},{"name":"J. Sistiaga-Suarez"},{"name":"M. Bernal-Sprekelsen"},{"name":"P. Charco-Mora"}],"abstract":"The Airway Management section of the Spanish Society of Anesthesiology, Resuscitation, and Pain Therapy (SEDAR), the Spanish Society of Emergency Medicine (SEMES), and the Spanish Society of Otorhinolaryngology and Head and Neck Surgery (SEORL-CCC) present the Guide for the comprehensive management of difficult airway in adult patients. Its principles are focused on the human factor, cognitive processes for decision-making in critical situations, and optimization in the progression of strategies application to preserve adequate alveolar oxygenation in order to enhance safety and the quality of care. The document provides evidence-based recommendations, theoretical-educational tools, and implementation tools, mainly cognitive aids, applicable to airway management in the fields of anesthesiology, critical care, emergencies, and prehospital medicine. For this purpose, an extensive literature search was conducted following PRISMA-R guidelines and was analyzed using the GRADE methodology. Recommendations were formulated according to the GRADE methodology. Recommendations for sections with low-quality evidence were based on expert opinion through consensus reached via a Delphi questionnaire.","source":"Semantic Scholar","year":2024,"language":"en","subjects":["Medicine"],"doi":"10.1016/j.redare.2024.02.002","url":"https://www.semanticscholar.org/paper/bd3d02aa266d85b6bd86525d2edf34e900410c5a","is_open_access":true,"citations":53,"published_at":"","score":69.59},{"id":"ss_b1f6cc3b7ba4c5262859fe5507172436b92da443","title":"Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council","authors":[{"name":"Hannah Lonsdale"},{"name":"Michael L. Burns"},{"name":"Richard H. Epstein"},{"name":"Ira S. Hofer"},{"name":"Patrick J. Tighe"},{"name":"Julia A Gálvez Delgado"},{"name":"Daryl J. Kor"},{"name":"Emily J. MacKay"},{"name":"Parisa Rashidi"},{"name":"J. Wanderer"},{"name":"Patrick J. McCormick"}],"abstract":"Interest in the potential applications of artificial intelligence in medicine, anesthesiology, and the world at large has never been higher. The Anesthesia Research Council steering committee formed an anesthesiologist artificial intelligence expert workgroup charged with evaluating the current state of artificial intelligence in anesthesiology, providing examples of future artificial intelligence applications and identifying barriers to artificial intelligence progress. The workgroup’s findings are summarized here, starting with a brief introduction to artificial intelligence for clinicians, followed by overviews of current and anticipated artificial intelligence–focused research and applications in anesthesiology. Anesthesiology’s progress in artificial intelligence is compared to that of other medical specialties, and barriers to artificial intelligence development and implementation in our specialty are discussed. The workgroup’s recommendations address stakeholders in policymaking, research, development, implementation, training, and use of artificial intelligence–based tools for perioperative care. The artificial intelligence expert workgroup of the Anesthesia Research Council outlines the current state and prospects of artificial intelligence in anesthesiology.","source":"Semantic Scholar","year":2025,"language":"en","subjects":["Medicine"],"doi":"10.1097/ALN.0000000000005326","url":"https://www.semanticscholar.org/paper/b1f6cc3b7ba4c5262859fe5507172436b92da443","is_open_access":true,"citations":8,"published_at":"","score":69.24000000000001},{"id":"ss_a8568097012bad3cc289f5f20326f42e937ceb48","title":"Point-of-care ultrasound training among anesthesiology residency programs in the United States","authors":[{"name":"J. Edwards"},{"name":"Daniel Ahn"},{"name":"Daniel Alcaraz"},{"name":"Collin Chiles"},{"name":"Tina Khuu"},{"name":"Nilam J. Soni"},{"name":"Varun Goyal"},{"name":"Crystal M Manohar"}],"abstract":"Point-of-care ultrasound (POCUS) use has become ubiquitous in the field of anesthesiology. However, POCUS training curriculum in anesthesiology residencies vary widely. We performed a survey study to better understand the structure of existing POCUS training and identify barriers to instituting a POCUS curriculum for anesthesiology trainees.","source":"Semantic Scholar","year":2025,"language":"en","subjects":["Medicine"],"doi":"10.1186/s12871-025-02929-y","url":"https://www.semanticscholar.org/paper/a8568097012bad3cc289f5f20326f42e937ceb48","pdf_url":"https://doi.org/10.1186/s12871-025-02929-y","is_open_access":true,"citations":5,"published_at":"","score":69.15},{"id":"doaj_10.1186/s13019-024-03218-4","title":"Meta-analysis of MitraClip and PASCAL for transcatheter mitral edge-to-edge repair","authors":[{"name":"Mahmoud Balata"},{"name":"Mohamed Ibrahim Gbreel"},{"name":"Mohamed Hamouda Elkasaby"},{"name":"Marwa Hassan"},{"name":"Marc Ulrich Becher"}],"abstract":"Abstract Background Despite the promising results of both MitraClip and PASCAL systems for the treatment of mitral regurgitation (MR), there is limited data on the comparison of both systems regarding their safety and efficacy. We aim to compare both systems for MR. Materials and methods Five databases were searched until October 2024. Original studies were only included and critically appraised using an adapted version of the Newcastle–Ottawa scale for observational cohort studies and the Cochrane risk of bias tool for randomized controlled trials. The risk ratio (RR) and mean difference (MD) with their corresponding 95% confidence interval (95% CI). Results From the database search, we identified 197 studies, of which eight studies comprising 1,612 patients who underwent transcatheter edge-to-edge repair with either MitraClip or PASCAL were included in this meta-analysis. The statistical analysis revealed no significant difference between the two devices in achieving a two-grade reduction in MR severity (RR = 0.95; 95% CI: [0.86, 1.04]; p = 0.28), one-grade reduction (RR = 1.17; 95% CI: [0.92, 1.49]; p = 0.19), or in cases with no improvement (RR = 1.23; 95% CI: [0.79, 1.90]; p = 0.36). Additionally, there were no significant differences between PASCAL and MitraClip regarding procedure time, procedural success, reinterventions, or all-cause mortality. However, PASCAL trended towards better residual MR reduction, although this was accompanied by moderate heterogeneity. Both devices demonstrated comparable safety profiles and were effective in reducing MR and improving cardiac function. Conclusion MitraClip and PASCAL devices showed comparable safety profiles and procedural success rates. However, the analysis did not reveal a statistically significant difference between the two devices in reducing the severity of MR.","source":"DOAJ","year":2025,"language":"","subjects":["Surgery","Anesthesiology"],"doi":"10.1186/s13019-024-03218-4","url":"https://doi.org/10.1186/s13019-024-03218-4","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1016/j.bioactmat.2024.10.025","title":"Recent advances in surface functionalization of cardiovascular stents","authors":[{"name":"Chuanzhe Wang"},{"name":"Jie Lv"},{"name":"Mengyi Yang"},{"name":"Yan Fu"},{"name":"Wenxuan Wang"},{"name":"Xin Li"},{"name":"Zhilu Yang"},{"name":"Jing Lu"}],"abstract":"Cardiovascular diseases (CVD) are the leading global threat to human health. The clinical application of vascular stents improved the survival rates and quality of life for patients with cardiovascular diseases. However, despite the benefits stents bring to patients, there are still notable complications such as thrombosis and in-stent restenosis (ISR). Surface modification techniques represent an effective strategy to enhance the clinical efficacy of vascular stents and reduce complications. This paper reviews the development strategies of vascular stents based on surface functional coating technologies aimed at addressing the limitations in clinical application, including the inhibition of intimal hyperplasia, promotion of re-endothelialization. These strategies have improved endothelial repair and inhibited vascular remodeling, thereby promoting vascular healing post-stent implantation. However, the pathological microenvironment of target vessels and the lipid plaques are key pathological factors in the development of atherosclerosis (AS) and impaired vascular repair after percutaneous coronary intervention (PCI). Therefore, restoring normal physiological environment and removing the plaques are also treatment focuses after PCI for promoting vascular repair. Unfortunately, research in this area is limited. This paper reviews the advancements in vascular stents based on surface engineering technologies over the past decade, providing guidance for the development of stents.","source":"DOAJ","year":2025,"language":"","subjects":["Materials of engineering and construction. Mechanics of materials","Biology (General)"],"doi":"10.1016/j.bioactmat.2024.10.025","url":"http://www.sciencedirect.com/science/article/pii/S2452199X24004705","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.4103/sja.sja_164_25","title":"The use of artificial intelligence in anesthesiology: Attitudes and ethical concerns of anesthesiologists","authors":[{"name":"Selin Erel"},{"name":"Aslıhan G. Kılıç"}],"abstract":"Background:\nExisting studies on anesthesiologists’ attitudes toward artificial intelligence (AI) leave a global understanding underexplored. This cross-sectional study aims to investigate Turkish anesthesiologists’ attitudes toward AI, examining its perceived benefits, limitations, and associated ethical concerns. Insights from this study aim to enhance understanding of AI’s role in anesthesiology within a cultural and ethical context.\nMethods:\nThis nationwide study surveyed Turkish anesthesiologists. Descriptive statistics summarized categorical variables, Pearson’s Chi-square test compared variables between groups. Binary logistic regression analyzed associations between demographic factors and positive attitudes toward AI.\nResults:\nAmong 293 valid responses, 69.6% of participants expressed positive attitudes toward AI. Gender (P = 0.01), employment setting (P \u003c 0.001), and prior AI experience (P \u003c 0.001) were significant predictors of positive attitudes. AI applications most frequently endorsed included preoperative assessments (93.1%), academic support (95.2%), and medical education (91.2%). Ethical concerns were prominent, with liability ambiguity (87.3%) and privacy issues (62.8%) being the most cited. Logistic regression revealed that participants aged 46–55 were significantly more likely to exhibit positive attitudes (OR = 3.744, P = 0.03), while those with over 15 years of experience were less likely to do so (OR = 0.105, P = 0.04).\nConclusions:\nTurkish anesthesiologists exhibited predominantly positive attitudes toward AI, with prior experience playing a significant role in shaping perceptions. While AI was embraced for academic, educational, and noninvasive tasks, skepticism was present toward its application in invasive procedures. These findings highlight AI’s potential to enhance efficiency and patient safety while underscoring the need for comprehensive legal and ethical frameworks.","source":"DOAJ","year":2025,"language":"","subjects":["Anesthesiology"],"doi":"10.4103/sja.sja_164_25","url":"https://journals.lww.com/10.4103/sja.sja_164_25","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.4103/aca.aca_129_25","title":"Rescue Transesophageal Echocardiography","authors":[{"name":"Thushara Madathil"},{"name":"Praveen K. Neema"}],"abstract":"","source":"DOAJ","year":2025,"language":"","subjects":["Anesthesiology","Diseases of the circulatory (Cardiovascular) system"],"doi":"10.4103/aca.aca_129_25","url":"https://journals.lww.com/10.4103/aca.aca_129_25","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.5114/ait/209457","title":"The consensus statement of the Section of Paediatric Anaesthesiology and Intensive Therapy of the Polish Society of Anaesthesiology and Intensive Therapy on anaesthesia in children under 3 years of age","authors":[{"name":"Marzena Zielińska"},{"name":"Alicja Bartkowska-Śniatkowska"},{"name":"Magdalena Mierzewska-Schmidt"},{"name":"Jowita Biernawska"},{"name":"Elżbieta Byrska-Maciejak"},{"name":"Maciej Cettler"},{"name":"Magdalena Chęcińska"},{"name":"Maria Damps"},{"name":"Anna Kubica-Cielińska"},{"name":"Małgorzata Mikaszewska-Sokolewicz"},{"name":"Jowita Rosada-Kurasińska"},{"name":"Beata Rybojad"},{"name":"Tomasz Sikorski"},{"name":"Magdalena Świder"},{"name":"Mariola Tałałaj"},{"name":"Izabela Pągowska-Klimek"}],"abstract":"The anaesthesia of a young child under 3 years of age is a challenge for every anaesthetist. The peculiarities of this group of patients, particularly neonates and infants, resulting primarily from differences in both physiology, anatomy and the immaturity of individual organs which translate into different pharmacokinetics and pharmacodynamics of the drugs used in anaesthesiology, underlie the significantly more frequently recorded critical events during anaesthesia compared with the adult patient population.\nConcerned about the safety of children undergoing anaesthesia and aiming to ensure the highest possible quality and uniform standard of anaesthetic services, the Expert Panel of the Section of Paediatric Anaesthesiology and Intensive Care has prepared a Section position paper on anaesthesia in children under 3 years of age.","source":"DOAJ","year":2025,"language":"","subjects":["Anesthesiology","Medical emergencies. Critical care. Intensive care. First aid"],"doi":"10.5114/ait/209457","url":"https://www.ait-journal.com/The-consensus-statement-of-the-Section-of-Paediatric-Anaesthesiology-and-Intensive,209457,0,2.html","is_open_access":true,"published_at":"","score":69},{"id":"ss_40ce6dd0cad6515ec6757c49ecb3b370bdb39bef","title":"Artificial Intelligence for Anesthesiology Board-Style Examination Questions: Role of Large Language Models.","authors":[{"name":"A. Khan"},{"name":"R. Yunus"},{"name":"Mahad Sohail"},{"name":"T. Rehman"},{"name":"Shiri Saeed"},{"name":"Y. Bu"},{"name":"Cullen D. Jackson"},{"name":"A. Sharkey"},{"name":"Feroze Mahmood"},{"name":"R. Matyal"}],"abstract":"","source":"Semantic Scholar","year":2024,"language":"en","subjects":["Medicine"],"doi":"10.1053/j.jvca.2024.01.032","url":"https://www.semanticscholar.org/paper/40ce6dd0cad6515ec6757c49ecb3b370bdb39bef","is_open_access":true,"citations":28,"published_at":"","score":68.84},{"id":"ss_f9c4aa005b274afeabd75cb641905ceccdd5460c","title":"Evaluating Large Language Models in Dental Anesthesiology: A Comparative Analysis of ChatGPT-4, Claude 3 Opus, and Gemini 1.0 on the Japanese Dental Society of Anesthesiology Board Certification Exam","authors":[{"name":"Misaki Fujimoto"},{"name":"Hidetaka Kuroda"},{"name":"Tomomi Katayama"},{"name":"Atsuki Yamaguchi"},{"name":"Norika Katagiri"},{"name":"Keita Kagawa"},{"name":"Shota Tsukimoto"},{"name":"Akito Nakano"},{"name":"Uno Imaizumi"},{"name":"Aiji Sato(Boku)"},{"name":"Naotaka Kishimoto"},{"name":"Tomoki Itamiya"},{"name":"Kanta Kido"},{"name":"T. Sanuki"}],"abstract":"Purpose Large language models (LLMs) are increasingly employed across various fields, including medicine and dentistry. In the field of dental anesthesiology, LLM is expected to enhance the efficiency of information gathering, patient outcomes, and education. This study evaluates the performance of different LLMs in answering questions from the Japanese Dental Society of Anesthesiology Board Certification Examination (JDSABCE) to determine their utility in dental anesthesiology. Methods The study assessed three LLMs, ChatGPT-4 (OpenAI, San Francisco, California, United States), Gemini 1.0 (Google, Mountain View, California, United States), and Claude 3 Opus (Anthropic, San Francisco, California, United States), using multiple-choice questions from the 2020 to 2022 JDSABCE exams. Each LLM answered these questions three times. The study excluded questions involving figures or deemed inappropriate. The primary outcome was the accuracy rate of each LLM, with secondary analysis focusing on six subgroups: (1) basic physiology necessary for general anesthesia, (2) local anesthesia, (3) sedation and general anesthesia, (4) diseases and patient management methods that pose challenges in systemic management, (5) pain management, and (6) shock and cardiopulmonary resuscitation. Statistical analysis was performed using one-way ANOVA with Dunnett's multiple comparisons, with a significance threshold of p\u003c0.05. Results ChatGPT-4 achieved a correct answer rate of 51.2% (95% CI: 42.78-60.56, p=0.003) and Claude 3 Opus 47.4% (95% CI: 43.45-51.44, p\u003c0.001), both significantly higher than Gemini 1.0, which had a rate of 30.3% (95% CI: 26.53-34.14). In subgroup analyses, ChatGPT-4 and Claude 3 Opus demonstrated superior performance in basic physiology, sedation and general anesthesia, and systemic management challenges compared to Gemini 1.0. Notably, ChatGPT-4 excelled in questions related to systemic management (62.5%) and Claude 3 Opus in pain management (61.53%). Conclusions ChatGPT-4 and Claude 3 Opus exhibit potential for use in dental anesthesiology, outperforming Gemini 1.0. However, their current accuracy rates are insufficient for reliable clinical use. These findings have significant implications for dental anesthesiology practice and education, including educational support, clinical decision support, and continuing education. To enhance LLM utility in dental anesthesiology, it is crucial to increase the availability of high-quality information online and refine prompt engineering to better guide LLM responses.","source":"Semantic Scholar","year":2024,"language":"en","subjects":["Medicine"],"doi":"10.7759/cureus.70302","url":"https://www.semanticscholar.org/paper/f9c4aa005b274afeabd75cb641905ceccdd5460c","pdf_url":"https://doi.org/10.7759/cureus.70302","is_open_access":true,"citations":27,"published_at":"","score":68.81},{"id":"ss_6e531290bfd6c9d497ef6133bd04571ca3b8a604","title":"Patient Safety in Anesthesiology: Progress, Challenges, and Prospects","authors":[{"name":"Wafaa Harfaoui"},{"name":"Mustapha Alilou"},{"name":"A. E. El Adib"},{"name":"Saad Zidouh"},{"name":"Aziz Zentar"},{"name":"Brahim Lekehal"},{"name":"Lahcen Belyamani"},{"name":"M. Obtel"}],"abstract":"Anesthesiology is considered a complex medical specialty. Its history has been marked by radical advances and profound transformations, owing to technical and pharmacological developments and innovations in the field, enabling us over the years to improve patient outcomes and perform longer, more complex surgical procedures on more fragile patients. However, anesthesiology has never been safe and free of challenges. Despite the advances made, it still faces risks associated with the practice of anesthesia, for both patients and healthcare professionals, and with some of the specific challenges encountered in low and middle-income countries. In this context, certain actions and initiatives must be carried out collaboratively. In addition, recent technologies and innovations such as simulation, genomics, artificial intelligence, and robotics hold promise for further improving patient safety in anesthesiology and overcoming existing challenges, making it possible to offer safer, more effective, and personalized anesthesia. However, this requires rigorous monitoring of ethical aspects and the reliability of the studies to reap the full benefits of the new technology. This literature review presents the evolution of anesthesiology over time, its current challenges, and its promising future. It underlines the importance of the new technologies and the need to pursue efforts and strengthen research in anesthesiology to overcome the persistent challenges and benefit from the advantages of the latest technology to guarantee safe, high-quality anesthesia with universal access.","source":"Semantic Scholar","year":2024,"language":"en","subjects":["Medicine"],"doi":"10.7759/cureus.69540","url":"https://www.semanticscholar.org/paper/6e531290bfd6c9d497ef6133bd04571ca3b8a604","pdf_url":"https://doi.org/10.7759/cureus.69540","is_open_access":true,"citations":17,"published_at":"","score":68.50999999999999},{"id":"ss_aee9d0e9be231e3f72f16e66fa4a0ab4e8d45880","title":"Artificial intelligence and its clinical application in Anesthesiology: a systematic review","authors":[{"name":"Sara Lopes"},{"name":"G. Rocha"},{"name":"Luís Guimarães-Pereira"}],"abstract":"Application of artificial intelligence (AI) in medicine is quickly expanding. Despite the amount of evidence and promising results, a thorough overview of the current state of AI in clinical practice of anesthesiology is needed. Therefore, our study aims to systematically review the application of AI in this context. A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched Medline and Web of Science for articles published up to November 2022 using terms related with AI and clinical practice of anesthesiology. Articles that involved animals, editorials, reviews and sample size lower than 10 patients were excluded. Characteristics and accuracy measures from each study were extracted. A total of 46 articles were included in this review. We have grouped them into 4 categories with regard to their clinical applicability: (1) Depth of Anesthesia Monitoring; (2) Image-guided techniques related to Anesthesia; (3) Prediction of events/risks related to Anesthesia; (4) Drug administration control. Each group was analyzed, and the main findings were summarized. Across all fields, the majority of AI methods tested showed superior performance results compared to traditional methods. AI systems are being integrated into anesthesiology clinical practice, enhancing medical professionals’ skills of decision-making, diagnostic accuracy, and therapeutic response.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Medicine"],"doi":"10.1007/s10877-023-01088-0","url":"https://www.semanticscholar.org/paper/aee9d0e9be231e3f72f16e66fa4a0ab4e8d45880","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10877-023-01088-0.pdf","is_open_access":true,"citations":50,"published_at":"","score":68.5},{"id":"ss_3a5b1aa13c4a367ec4fc37a602d3fbfda89192db","title":"Strengths-weaknesses-opportunities-threats analysis of artificial intelligence in anesthesiology and perioperative medicine","authors":[{"name":"Henry J. Paiste"},{"name":"Ryan C. Godwin"},{"name":"Andrew D. Smith"},{"name":"Dan E. Berkowitz"},{"name":"Ryan L. Melvin"}],"abstract":"The use of artificial intelligence (AI) and machine learning (ML) in anesthesiology and perioperative medicine is quickly becoming a mainstay of clinical practice. Anesthesiology is a data-rich medical specialty that integrates multitudes of patient-specific information. Perioperative medicine is ripe for applications of AI and ML to facilitate data synthesis for precision medicine and predictive assessments. Examples of emergent AI models include those that assist in assessing depth and modulating control of anesthetic delivery, event and risk prediction, ultrasound guidance, pain management, and operating room logistics. AI and ML support analyzing integrated perioperative data at scale and can assess patterns to deliver optimal patient-specific care. By exploring the benefits and limitations of this technology, we provide a basis of considerations for evaluating the adoption of AI models into various anesthesiology workflows. This analysis of AI and ML in anesthesiology and perioperative medicine explores the current landscape to understand better the strengths, weaknesses, opportunities, and threats (SWOT) these tools offer.","source":"Semantic Scholar","year":2024,"language":"en","subjects":["Medicine","Computer Science"],"doi":"10.3389/fdgth.2024.1316931","url":"https://www.semanticscholar.org/paper/3a5b1aa13c4a367ec4fc37a602d3fbfda89192db","pdf_url":"https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2024.1316931/pdf","is_open_access":true,"citations":13,"published_at":"","score":68.39},{"id":"ss_fee605b7c8930b7ff407f5307427fa3825ac0899","title":"Anesthesiology","authors":[{"name":"L. Aglio"},{"name":"Richard D. Urman"}],"abstract":"","source":"Semantic Scholar","year":2022,"language":"en","subjects":["Medicine"],"doi":"10.1007/978-3-319-50141-3","url":"https://www.semanticscholar.org/paper/fee605b7c8930b7ff407f5307427fa3825ac0899","pdf_url":"https://link.springer.com/content/pdf/bfm:978-3-319-50141-3/1","is_open_access":true,"citations":70,"published_at":"","score":68.1},{"id":"doaj_https://doi.org/10.3126/ajms.v15i9.67674","title":"A comparative study to evaluate the efficacy of cisatracurium and rocuronium for endotracheal intubation in pediatric patients: A prospective randomized study","authors":[{"name":"Deepak R "},{"name":"Seema Shende "},{"name":"Namrata Jain "},{"name":"Sanyukta Paul "}],"abstract":"Background: Cisatracurium and rocuronium are non-depolarizing neuromuscular blockers with an intermediate duration of action and are used safely in short and intermediate-duration surgical procedures in the pediatric population.\r\n\r\nAims and Objectives: A prospective randomized study is to assess the efficacy of cisatracurium compared to rocuronium in terms of intubating conditions, clinical duration of action, hemodynamic parameters, and side effects in pediatric patients undergoing surgeries under general anesthesia.\r\n\r\nMaterials and Methods: In this study, 50 patients aged 2–12 years with the American Society of Anesthesiologists grades I and II were randomly allocated into two groups: Group I received injection cisatracurium 0.15 mg/kg IV and Group II received injection rocuronium 0.6 mg/kg IV for intubation. Intubating conditions by Cooper et al., score, TOF count, hemodynamic parameters, signs of histamine release, and complications if any were noted.\r\n\r\nResults: According to the Cooper et al., score, intubating conditions were excellent in 100% of patients in Group II and 84% of patients in Group I, which was statistically significant. The time required for the first maintenance dose was shorter in Group II (14.04±2.95 min) compared to Group I (20.08±3.68 min). Hemodynamic parameters and demographic profiles were comparable between the two groups. No associated signs of histamine release or any other complications were noted in either group.\r\n\r\nConclusion: We concluded that rocuronium 0.6 mg/kg provides better intubating conditions and a shorter duration of action compared to cisatracurium 0.15 mg/kg without any signs of histamine release in pediatric patients.","source":"DOAJ","year":2024,"language":"","subjects":["Medicine"],"doi":"https://doi.org/10.3126/ajms.v15i9.67674","url":"https://www.nepjol.info/index.php/AJMS/article/view/67674","is_open_access":true,"published_at":"","score":68},{"id":"ss_fdb897b6c8bfa0857e9a4a67038e3a1087aaf163","title":"The Anesthesiology Physician-Scientist Pipeline: Current Status and Recommendations for Future Growth-An Initiative of the Anesthesia Research Council.","authors":[{"name":"C. Emala"},{"name":"Vivianne L. Tawfik"},{"name":"Meghan B. Lane-Fall"},{"name":"Paloma Toledo"},{"name":"Cynthia A. Wong"},{"name":"M. Vavilala"},{"name":"Lee A. Fleisher"},{"name":"M. Wood"}],"abstract":"The limited number and diversity of resident physicians pursuing careers as physician-scientists in medicine has been a concern for many decades. The Anesthesia Research Council aimed to address the status of the anesthesiology physician-scientist pipeline, benchmarked against other medical specialties, and to develop strategic recommendations to sustain and expand the number and diversity of anesthesiology physician-scientists. The working group analyzed data from the Association of American Medical Colleges and the National Resident Matching Program to characterize the diversity and number of research-oriented residents from US and international allopathic medical schools entering 11 medical specialties from 2009 to 2019. Two surveys were developed to assess the research culture of anesthesiology departments. National Institutes of Health (NIH) funding information awarded to anesthesiology physician-scientists and departments was collected from NIH RePORTER and the Blue Ridge Medical Institute. Anesthesiology ranked eighth to tenth place of 11 medical specialties in the percent of \"research-oriented\" entering residents, defined as those with advanced degrees (Master's or PhDs) in addition to the MD degree or having published at least 3 research publications before residency. Anesthesiology ranked eighth of 11 specialties in the percent of entering residents who were women but ranked fourth of 11 specialties in the percent of entering residents who self-identified as belonging to an underrepresented group in medicine. There has been a 72% increase in both the total NIH funding awarded to anesthesiology departments and the number of NIH K-series mentored training grants (eg, K08 and K23) awarded to anesthesiology physician-scientists between 2015 and 2020. Recommendations for expanding the size and diversity of the anesthesiology physician-scientist pipeline included (1) developing strategies to increase the number of research intensive anesthesiology departments; (2) unifying the diverse programs among academic anesthesiology foundations and societies that seek to grow research in the specialty; (3) adjusting American Society of Anesthesiologists metrics of success to include the number of anesthesiology physician-scientists with extramural research support; (4) increasing the number of mentored awards from Foundation of Anesthesia Education and Research (FAER) and International Anesthesia Research Society (IARS); (5) supporting an organized and concerted effort to inform research-oriented medical students of the diverse research opportunities within anesthesiology should include the specialty being represented at the annual meetings of Medical Scientist Training Program (MSTP) students and the American Physician Scientist Association, as well as in institutional MSTP programs. The medical specialty of anesthesiology is defined by new discoveries and contributions to perioperative medicine which will only be sustained by a robust pipeline of anesthesiology physician-scientists.","source":"Semantic Scholar","year":2023,"language":"en","subjects":["Medicine"],"doi":"10.1213/ANE.0000000000006520","url":"https://www.semanticscholar.org/paper/fdb897b6c8bfa0857e9a4a67038e3a1087aaf163","is_open_access":true,"citations":17,"published_at":"","score":67.50999999999999},{"id":"ss_ffc197f130338a93adf8c3fe894d20e9bd07ee29","title":"BMC Anesthesiology","authors":[{"name":"Bmc Anesthesiology"},{"name":"M. Gómez-Ríos"},{"name":"M. R. E. Tahan"},{"name":"Akhilesh Pahade"}],"abstract":"","source":"Semantic Scholar","year":2023,"language":"en","subjects":null,"url":"https://www.semanticscholar.org/paper/ffc197f130338a93adf8c3fe894d20e9bd07ee29","is_open_access":true,"citations":17,"published_at":"","score":67.50999999999999}],"total":243136,"page":1,"page_size":20,"sources":["DOAJ","CrossRef","Semantic Scholar"],"query":"Anesthesiology"}