Results 211 to 220 of about 109,451 (303)

Quality of artificial intelligence‐generated responses on pediatric celiac disease: Comparative assessment of Open AI ChatGPT and Google Gemini

open access: yesJPGN Reports, EarlyView.
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

Efficacy of omega‐3 fatty acids as a functional food: a multifaceted approach to health reinforcement

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
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

Large Language Models as a Virtual Endodontic Patient. Can They Help Us Teach Endodontic Diagnosis?

open access: yes
Journal of Dental Education, EarlyView.
Pierre Wohlgemuth   +3 more
wiley   +1 more source

Large language models are comparable with commonly used statistical software: A validation of GPT 5.1 for frequentist meta‐analysis in orthopaedics

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
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

Integrating AI and Into Dental Hygiene Documentation Education

open access: yes
Journal of Dental Education, EarlyView.
Leonardo M. Nassani   +3 more
wiley   +1 more source

Automated data extraction for systematic reviews using GPT‐5.2 and Google Gemini Pro 3: A dual‐large language model approach in orthopaedic research

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To evaluate the accuracy, agreement, and efficiency of a dual‐large language model (LLM) approach using Generative Pre‐Trained Transformer 5.2 (GPT‐5.2) and Google Gemini 3 Pro for automated data extraction in orthopaedic systematic reviews.
Prushoth Vivekanantha   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy