Results 191 to 200 of about 55,072 (308)

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

In Reply to Sengul I and Sengul D. [PDF]

Adv Radiat Oncol
Dennstädt F, Hastings J, Putora PM, Vu E, Fischer G, Süveg K, Glatzer M, Riggenbach E, Hà HL, Cihoric N.   +9 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

LLMs as emerging tools for understanding and managing bone metastasis and cancer-induced bone pain. [PDF]

iScience
Li J, Xie Y, Li B, He R, Meng W, Gong J, Fan Y, Li L, Li B.   +8 more
europepmc   +1 more source

ChatGPT for complex text evaluation tasks

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 645-648, April 2025.
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley   +1 more source

Zero-shot multimodal large language models underperform a domain-trained CNN baseline in pediatric wrist fracture detection. [PDF]

Sci Rep
Haupt M, Weiß D, Bellersen T, Maurer MH.   +3 more
europepmc   +1 more source

Can LLMs Reason with Logic?

ChatGPT, a chat interface to OpenAI’s Large Language Model (LLM), amazed users after its release in 2022 with its functionality. However, LLMs are prone to “hallucinations”, which sparked lively debate about LLM reasoning capabilities, which is also the ...
Gerber, Aurona, Eybers, Sunet
core  

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Cross‐disciplinary integration: Information practices and a role for information scholars. An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley   +1 more source

When AI outputs become documents: Documentation activity in human–AI dialogue

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Large language models (LLMs) generate texts that increasingly circulate as documents in knowledge infrastructures, yet their documentary status remains theoretically underdetermined. Unlike traditional documents, LLM outputs lack identifiable authorship, stable provenance, or testimonial grounding.
Sascha Donner
wiley   +1 more source