Results 201 to 210 of about 63,129 (302)

Evaluating ChatGPT, Gemini and other Large Language Models (LLMs) in orthopaedic diagnostics: A prospective clinical study. [PDF]

Comput Struct Biotechnol J
Pagano S, Strumolo L, Michalk K, Schiegl J, Pulido LC, Reinhard J, Maderbacher G, Renkawitz T, Schuster M.   +8 more
europepmc   +1 more source

Evaluating Large Language Model Adherence to Targeted Fifth‐Grade Readability Standards in Patient Education on Chronic Conditions

Chronic Diseases and Translational Medicine, EarlyView.
Faheed Shafau, Chase Wahl, Marcus Kado, Garrett Miedema   +3 more
wiley   +1 more source

Assessing Large Language Models for Early Article Identification in Otolaryngology—Head and Neck Surgery Systematic Reviews

Health Care Science, EarlyView.
The search criteria for three systematic reviews were replicated using ChatGPTv3.5 and Bard. Outputs included author, title, publication year, and journal and were cross‐referenced with medical databases and compared to the original reviews. Large language models failed to replicate peer‐reviewed methodologies.
Ajibola B. Bakare, Young Lee, Jhuree Hong, Claus‐Peter Richter, Jonathan P. Kuriakose   +4 more
wiley   +1 more source

The Digital Diagnostic Odyssey: Artificial Intelligence and Social Media Crowdsourcing Amid Pediatric Neurology Access Gaps

Annals of the Child Neurology Society, EarlyView.
Audrey M. Smith, Rachel Vassar
wiley   +1 more source

A Survey on Medical Competence Evaluation Benchmarks for Large Language Models

Health Care Science, EarlyView.
Our study presents a comprehensive review of the established methodologies and benchmarks for evaluating the medical competence of LLMs, encompassing a thorough analysis of current assessment practices across medical knowledge, clinical practice competence, and ethical–safety considerations.
Qiting Wang, Huiru Zou, Haobin Zhang, Yongshun Huang, Junzhang Tian, Weibin Cheng   +5 more
wiley   +1 more source

Correction to: GP or ChatGPT? Ability of large language models (LLMs) to support general practitioners when prescribing antibiotics. [PDF]

J Antimicrob Chemother
europepmc   +1 more source

The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs). [PDF]

NPJ Digit Med
Haltaufderheide J, Ranisch R.
europepmc   +1 more source

Preferences of Chinese Dermatologists for Large Language Model Responses in Clinical Psoriasis Scenarios: A Nationwide Cross‐Sectional Survey in China

Health Care Science, EarlyView.
In a nationwide survey of 1247 Chinese dermatologists, ChatGPT‐4o was the most preferred large language model (LLM) for psoriasis‐related clinical tasks. Accuracy emerged as the top evaluation criterion for LLM‐generated responses. All icons were made by Freepik and Maan Icons from https://www.flaticon.com/ ABSTRACT Background Large language models ...
Jungang Yang, Jingkai Xu, Xuejiao Song, Chengxu Li, Lili Chen, Lingbo Bi, Tingting Jiang, Xianbo Zuo, Yong Cui   +8 more
wiley   +1 more source

Artificial intelligence in obstetrics and gynecology: Evaluating ChatGPT and Google Gemini in answering patient questions

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Introduction To evaluate the accuracy and completeness of responses across common obstetrical and gynecologic topics generated by the large language models (LLMs) ChatGPT and Google Gemini, which have become increasingly popular for patients seeking medical information before physician consultations.
Madeline West, Amir Alsaidi, Rohail Siddiqi, Fatima Sayyed, Rachael Counts, Lauren Quinto, Nicholas Stansbury   +6 more
wiley   +1 more source

ChatGPT and large language models (LLMs) awareness and use. A prospective cross-sectional survey of U.S. medical students. [PDF]

PLOS Digit Health
Ganjavi C, Eppler M, O'Brien D, Ramacciotti LS, Ghauri MS, Anderson I, Choi J, Dwyer D, Stephens C, Shi V, Ebert M, Derby M, Yazdi B, Cacciamani GE.   +13 more
europepmc   +1 more source