Results 251 to 260 of about 80,417 (346)
Abstract Objectives Many individuals use artificial intelligence tools such as Open AI's ChatGPT and Google's Gemini to assess their symptoms or learn about a disease. However, studies to evaluate responses provided by artificial intelligence tools are lacking.
Ashwin Agrawal +3 more
wiley +1 more source
MEDAI-LLM-SUMM: a reporting checklist for medical text summarization studies using large language models. [PDF]
Khoruzhaya AN +11 more
europepmc +1 more source
Deafferentation Hallucinations: A Less Explored Entity
Nitisha Verma, Ashutosh Kumar Karn
openalex +1 more source
Abstract Omega‐3 fatty acids (omega‐3s) are polyunsaturated fatty acids linked with numerous health benefits. Omega‐3s exhibit multifaceted activities through various mechanisms. Eicosapentaenoic acid (EPA) alleviates oxidative stress by lowering reactive oxygen species and improving oxidative stress in brain tissues and acts against neurodegenerative ...
Md Faruque Ahmad +12 more
wiley +1 more source
Enhancing explainability and performance of the depression detection model on social media utilizing feature engineering and LLMs. [PDF]
Thamrin SA, Chen ALP.
europepmc +1 more source
A Rag-Based Chatbot for Scientific Research: Minimizing Hallucination in Information Support Systems
Leyla Turker Sener, Umit Yılmaz
openalex +1 more source
Large Language Models as a Virtual Endodontic Patient. Can They Help Us Teach Endodontic Diagnosis?
Journal of Dental Education, EarlyView.
Pierre Wohlgemuth +3 more
wiley +1 more source
Abstract Purpose The purpose of this study was to evaluate whether Chat Generative Pre‐trained Transformer (ChatGPT; Version 5.1) can reproduce frequentist meta‐analytic calculations with an accuracy comparable to established statistical software in orthopaedic research.
Mikhail Salzmann +4 more
wiley +1 more source
Accuracy Is Not Enough: Reasoning and Reference Reliability in Orthopaedic Large Language Model (LLM) Applications. [PDF]
Singh S, Chandrasekhar P.
europepmc +1 more source

