DOAJ Open Access 2023

Artificial Intelligence-Based Software with CE Mark for Chest X-ray Interpretation: Opportunities and Challenges

Salvatore Claudio Fanni Alessandro Marcucci Federica Volpi Salvatore Valentino Emanuele Neri +1 lainnya

Abstrak

Chest X-ray (CXR) is the most important technique for performing chest imaging, despite its well-known limitations in terms of scope and sensitivity. These intrinsic limitations of CXR have prompted the development of several artificial intelligence (AI)-based software packages dedicated to CXR interpretation. The online database “AI for radiology” was queried to identify CE-marked AI-based software available for CXR interpretation. The returned studies were divided according to the targeted disease. AI-powered computer-aided detection software is already widely adopted in screening and triage for pulmonary tuberculosis, especially in countries with few resources and suffering from high a burden of this disease. AI-based software has also been demonstrated to be valuable for the detection of lung nodules detection, automated flagging of positive cases, and post-processing through the development of digital bone suppression software able to produce digital bone suppressed images. Finally, the majority of available CE-marked software packages for CXR are designed to recognize several findings, with potential differences in sensitivity and specificity for each of the recognized findings.

Topik & Kata Kunci

Penulis (6)

S

Salvatore Claudio Fanni

A

Alessandro Marcucci

F

Federica Volpi

S

Salvatore Valentino

E

Emanuele Neri

C

Chiara Romei

Format Sitasi

Fanni, S.C., Marcucci, A., Volpi, F., Valentino, S., Neri, E., Romei, C. (2023). Artificial Intelligence-Based Software with CE Mark for Chest X-ray Interpretation: Opportunities and Challenges. https://doi.org/10.3390/diagnostics13122020

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Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.3390/diagnostics13122020
Akses
Open Access ✓