Results 131 to 140 of about 239,466 (252)

Comparative evaluation of handwriting recognition by large language models (LLMs) in interpreting handwritten medication lists. [PDF]

Explor Res Clin Soc Pharm
Jacobs TG, Beca LSDAB, van der Linden PD, van Nuland M.   +3 more
europepmc   +1 more source

Autoreactivity vs autoimmunity: characteristics of autoantigen‐specific CD4 T‐cells in rheumatoid arthritis and health.

Arthritis &Rheumatology, Accepted Article.
Background CD4 T cells specific for citrullinated (cit)‐peptides are key players in RA immunopathogenesis. Characterising these cells and identifying features of healthy and RA‐associated autoreactivity will provide valuable insight into disease mechanisms and form the basis of immune state biomarkers to facilitate the next generation of RA treatments.
James A. Stanway, Daniel Peters, Helen Waller, Jeremy Lakey, Henrique De Paula Lemos, Kristian Williams, Abbie Degnan, Julie Diboll, Abdul Mannan Baru, David Tough, Arthur G. Pratt, Catharien M.U. Hilkens, Amy E. Anderson, John D. Isaacs   +13 more
wiley   +1 more source

Cell type annotation using large language models (LLMs) and CytoAnalyst. [PDF]

Bioinform Adv
Nguyen K, Tran D, Nguyen P, Ro S, Bya P, Nguyen T.   +5 more
europepmc   +1 more source

Is artificial intelligence getting better at anatomy? A two‐year review of ChatGPT's free public versions

Anatomical Sciences Education, EarlyView.
Abstract Artificial intelligence and large language models have significantly influenced medical education by enhancing learning experiences. While previous studies have assessed ChatGPT's performance on anatomy‐related questions, a notable gap remains in understanding its accuracy over time. This longitudinal study evaluated the progression of ChatGPT'
Bahattin Paslı, Ceren Günenç Beşer
wiley   +1 more source

Performance of multimodal large language models on image‐based surgical anatomy, anatomical pathology, and radiology questions

Anatomical Sciences Education, EarlyView.
Abstract Multimodal large language models (LLMs) are now deeply integrated into medical education and widely used by medical students, yet it remains unclear whether current models possess the accuracy and reliability needed to support image‐based learning.
Ming Lu, Josiah Cheng, Vinod Gopalan
wiley   +1 more source

When Large Language Models (LLMs) walk into a Bachelor's in optometry examination: Comparing the performances of LLMs and bachelor of optometry students. [PDF]

Indian J Ophthalmol
Arora A, Parmar UPS, Anjali, Mathur P, Kishore K, Singh U, Pandav SS, Gupta V.   +7 more
europepmc   +1 more source

Harnessing the Power of Large Language Models (LLMs) for Electronic Health Records (EHRs) Optimization. [PDF]

Cureus, 2023
Nashwan AJ, AbuJaber AA.
europepmc   +1 more source

The performance of ChatGPT and other large language models on multiple‐choice questions in biomedical disciplines: A meta‐analysis

Anatomical Sciences Education, EarlyView.
Abstract While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple‐choice questions (MCQs) varies widely across studies, necessitating synthesis. This meta‐analysis synthesizes LLM accuracy on text‐based MCQs from biomedical disciplines and USMLE Step 1‐level content and explores ...
Colleen M. Cheverko, Volodymyr Mavrych, Olena Bolgova, Fathima Raahima Riyas Mohamed, Jennifer Westrick, Lorena Juarez, Emily Rush, Kathryn A. Solka, Alison F. Doubleday, Jessica N. Byram, Robert Becker, Victoria Gomez, Brenda K. Anak Ganeng, Leslie A. Hoffman, Victoria A. Roach, Kirsten M. Brown, Nicole DeVaul, Colleen N. Garnett, Hannah L. Herriott, Rebecca S. Lufler, Jason C. Mussell, Joy Y. Balta, Michael A. Pascoe, Jason W. Middleton, Sharon Duffy, Georgina C. Stephens, Adam B. Wilson   +26 more
wiley   +1 more source

Where Are We Now? Benchmarking Large Language Models (LLMs) in Computed Tomography (CT)-Based Detection of Intracranial Hemorrhage. [PDF]

Cureus
Wu AQ, Davis P, Gajjar AA, Patel S, Sollenberger C, Hoglund Z, Ghanta P, Jabarkheel R, Scott KW, Catapano JS, Burkhardt JK, Srinivasan VM.   +11 more
europepmc   +1 more source

Comparative evaluation of radiological anatomy knowledge and accuracy of ChatGPT‐5, Gemini 2.5, and Grok 4 across normal and thinking modes

Anatomical Sciences Education, EarlyView.
Workflow for comparing three LLMs in radiographic anatomical identification using 30 radiographs and 196 anatomy questions across Normal and Thinking modes, with expert scoring and temporal consistency analysis. Abstract This study compared the performance of three large language models, ChatGPT‐5 Plus, Gemini 2.5 Pro, and SuperGrok 4, in identifying ...
Ismail Sivri, Furkan Mehmet Ozden, Halit Celik, Ozgur Gokturk, Tuncay Colak   +4 more
wiley   +1 more source