Results 111 to 120 of about 141,350 (263)

Assessing GPT-4o and GPT-4 in answering and explaining ophthalmology examination questions from Taiwan’s medical licensing test

Taiwan Journal of Ophthalmology
PURPOSE: This study aims to evaluate and compare the performance of generative pretrained transformer (GPT)-4o and GPT-4 in answering Taiwan’s National Medical Licensing Examination (NMLE) ophthalmology questions from 2014 to 2023, focusing on both ...
Chen-Wei Lin, Chau-Yin Chen, Pei-Lun Wu, Ching-Lung Chen, Chien-Hsiung Lai   +4 more
doaj   +1 more source

A Comparative Analysis of GPT-3.5, GPT-4 and GPT-4.o in Heart Failure

Uludağ Üniversitesi Tıp Fakültesi Dergisi
Digitalization have increasingly penetrated in healthcare. Generative artificial intelligence (AI) is a type of AI technology that can generate new content. Patients can use AI-powered chatbots to get medical information. Heart failure is a syndrome with high morbidity and mortality. Patients search about heart failure in many web sites commonly.
Şeyda Günay-polatkan, Deniz Sığırlı   +1 more
openaire   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Hacker-GPT

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
HackerGPT is a specialized version of the LLaMA 2 model, designed to assist cybersecurity professionals in identifying vulnerabilities, improving defenses, and raising cybersecurity awareness while adhering to ethical guidelines for responsible use.
openaire   +1 more source

Custom GPTs Enhancing Performance and Evidence Compared with GPT-3.5, GPT-4, and GPT-4o? A Study on the Emergency Medicine Specialist Examination

Healthcare
Given the widespread application of ChatGPT, we aim to evaluate its proficiency in the emergency medicine specialty written examination. Additionally, we compare the performance of GPT-3.5, GPT-4, GPTs, and GPT-4o. The research seeks to ascertain whether custom GPTs possess the essential capabilities and access to knowledge bases necessary for ...
Chiu-Liang Liu, Chien-Ta Ho, Tzu-Chi Wu
openaire   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Evaluating the performance of GPT-3.5, GPT-4, and GPT-4o in the Chinese National Medical Licensing Examination

Scientific Reports
This study aims to compare and evaluate the performance of GPT-3.5, GPT-4, and GPT-4o in the 2020 and 2021 Chinese National Medical Licensing Examination (NMLE), exploring their potential value in medical education and clinical applications.
Dingyuan Luo, Mengke Liu, Runyuan Yu, Yulian Liu, Wenjun Jiang, Qi Fan, Naifeng Kuang, Qiang Gao, Tao Yin, Zuncheng Zheng   +9 more
doaj   +1 more source

Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study

Journal of Medical Internet Research
BackgroundRecent advancements in artificial intelligence, such as GPT-3.5 Turbo (OpenAI) and GPT-4, have demonstrated significant potential by achieving good scores on text-only United States Medical Licensing Examination (USMLE ...
Zhichao Yang, Zonghai Yao, Mahbuba Tasmin, Parth Vashisht, Won Seok Jang, Feiyun Ouyang, Beining Wang, David McManus, Dan Berlowitz, Hong Yu   +9 more
doaj   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Journal of Medical Internet Research
BackgroundEmergency departments (EDs) face significant challenges due to overcrowding, prolonged waiting times, and staff shortages, leading to increased strain on health care systems.
Chenxu Wang, Fei Wang, Shuhan Li, Qing-wen Ren, Xiaomei Tan, Yaoyu Fu, Di Liu, Guangwu Qian, Yu Cao, Rong Yin, Kang Li   +10 more
doaj   +1 more source