Evaluation of Large Language Models' Concordance With Guidelines on Olfaction

Laryngoscope Investigative Otolaryngology, Год журнала: 2025, Номер 10(2)

Опубликована: Март 22, 2025

ABSTRACT Objective To assess the concordance of artificial intelligence (AI)‐generated information with 2022 International Consensus Statement on Allergy and Rhinology: Olfaction (ICAR‐O). Methods Forty‐two guidelines were extracted from ICAR‐O. Each guideline was converted into a question, which presented to ChatGPT version 4.o Google Gemini. Concordance deemed an agreement between AI response clinical recommendation. Credibility granted if platform provided credible resource. Accuracy graded Likert scale (0: entirely inaccurate information, 1: mix accurate 2: information). Statistical analysis performed. Results A total 84 responses generated. The mean accuracy Gemini 1.85 1.48 out 2, respectively, indicating that contained information. significantly more than ( p = 0.001). Of responses, 78.57% N 33) concordant ICAR‐O 100% 42) cited 66.67% 28) 97.62% 41) There no significant differences in 0.22) or credibility 0.31) platforms. Conclusion olfaction. However, overall, both platforms did not consistently align guidelines. require further evaluation before implementation use as educational adjuncts. Level Evidence N/A.

Язык: Английский

ORCHESTRA Delphi consensus: diagnostic and therapeutic management of Post-COVID-19 condition in vulnerable populations

Clinical Microbiology and Infection, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Trajectories of Coping With Persistent Smell and Taste Dysfunction After a Covid‐19 Infection—A Qualitative Interview Study

Journal of Advanced Nursing, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 7, 2024

To explore trajectories of understanding and managing persistent chemosensory dysfunction after COVID-19 in patients undergoing clinical treatment.

Язык: Английский