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Semantic Scholar Open Access 2025 9 sitasi

Comparative Analysis of Information Quality in Pediatric Otorhinolaryngology: Clinicians, Residents, and Large Language Models

E. Trecca V. Caponio M. Turri‐Zanoni A. M. di Lullo M. Gaffuri +6 lainnya
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Abstrak

Pediatric otorhinolaryngology (ORL) addresses complex conditions in children, requiring a tailored approach for patients and families. With artificial intelligence (AI) gaining traction in medical applications, this study evaluates the quality of information provided by large language models (LLMs) in comparison to clinicians, identifying strengths and limitations in the field of pediatric ORL.

Topik & Kata Kunci

Medicine

Penulis (11)

E

E. Trecca

V

V. Caponio

M

M. Turri‐Zanoni

A

A. M. di Lullo

M

M. Gaffuri

J

J. Lechien

A

A. Maniaci

G

Giuseppe Maruccio

M

Marella Reale

I

I. C. Visconti

V

V. Dallari

Format Sitasi

APA MLA BibTeX
Trecca, E., Caponio, V., Turri‐Zanoni, M., Lullo, A.M.d., Gaffuri, M., Lechien, J. et al. (2025). Comparative Analysis of Information Quality in Pediatric Otorhinolaryngology: Clinicians, Residents, and Large Language Models. https://doi.org/10.1002/ohn.1225

Akses Cepat

Lihat di Sumber doi.org/10.1002/ohn.1225
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Total Sitasi
9×
Sumber Database
Semantic Scholar
DOI
10.1002/ohn.1225
Akses
Open Access ✓