Discover the newest research about AI innovations in 🧠 LLM’s.
AI scribes enhance psychiatric documentation but reduce intervention likelihood in primary care. Key findings from JAMA Psychiatry study. 📊🧠
AI tools analyze 4,592 Reddit posts on pre-cervical cancer, revealing patient concerns and community support. 📊💬
Large language models show 65% accuracy in periodontology tests, lacking reliability for clinical decision support. 📊🦷
Exploring LLMs in Medical Education: 39 studies reveal strong performance but limited multimorbidity representation. 📊🤖
Exploring bias in LLMs for cardiovascular risk: men vs. women, Black vs. white. Strong agreement (ICC 0.949) found. 📊❤️
Evaluating RAG-LLMs for infective endocarditis prophylaxis shows accuracy up to 90% with preprompting. 📊🦷
AI in Spine Surgery: ChatGPT-5 Pro & Gemini 2.5 Pro show promise in triage accuracy. 🤖💉
AI accelerates monoclonal antibody design, aiding in the fight against viral infections like RSV and avian influenza. 🦠💉
AI technology enhances psychiatric diagnosis by optimizing questionnaires, improving accuracy, and reducing redundancy in mental health assessments. 🧠✨
AI tools may misinterpret patient data in electronic records, leading to inaccuracies. Human oversight remains essential for data integrity. 🏥🔍
