
Uncovering bias and variability in how large language models attribute cardiovascular risk.
Exploring bias in LLMs for cardiovascular risk: men vs. women, Black vs. white. Strong agreement (ICC 0.949) found. πβ€οΈ
Discover the newest research about AI innovations in π§ LLM’s.

Exploring bias in LLMs for cardiovascular risk: men vs. women, Black vs. white. Strong agreement (ICC 0.949) found. πβ€οΈ

Evaluating RAG-LLMs for infective endocarditis prophylaxis shows accuracy up to 90% with preprompting. ππ¦·

AI in Spine Surgery: ChatGPT-5 Pro & Gemini 2.5 Pro show promise in triage accuracy. π€π

AI accelerates monoclonal antibody design, aiding in the fight against viral infections like RSV and avian influenza. π¦ π
AI technology enhances psychiatric diagnosis by optimizing questionnaires, improving accuracy, and reducing redundancy in mental health assessments. π§ β¨

AI tools may misinterpret patient data in electronic records, leading to inaccuracies. Human oversight remains essential for data integrity. π₯π

Token-splitting boosts GPT-4.1 accuracy to 92.93% in plastic surgery exams, enhancing AI in medical education. ππ€

ChatGPT-4’s allergen immunotherapy responses rated fair quality, but lacked reliability and readability for patient use. ππ€

AI in healthcare: ChatGPT & DeepSeek show promise in clinical decision-making, but face challenges like bias & privacy. π€π

“Machine Learning in Orthopedic Nursing: NNM Boosts Recovery Quality ππ€”