Results 151 to 160 of about 61,005 (284)
The use of large language models in generating multiple choice questions for health professions education: A systematic review and network meta-analysis. [PDF]
Riehm L +5 more
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Evaluation of DeepSeek-R1 and ChatGPT-4o on the Chinese national medical licensing examination: a multi-year comparative study. [PDF]
Wang X +6 more
europepmc +1 more source
ChatGPT/GPT‐4 (large language models): Opportunities and challenges of perspective in bariatric healthcare professionals [PDF]
Saikam Law +3 more
openalex +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Accuracy and reliability of Manus, ChatGPT, and Claude in case-based dental diagnosis. [PDF]
Madfa AA +4 more
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
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 +3 more
wiley +1 more source
A comparative study on DeepSeek and ChatGPT for bone and soft tissue tumor clinical practice. [PDF]
Yang B +6 more
europepmc +1 more source

