Evaluating AI-based comprehensive clinical decision support for sepsis and ARDS: protocol for a Clinician Turing Test.
AI in sepsis care: Clinician Turing Test to assess decision support safety and effectiveness. 🤖🩺
Dementia Care Research and Psychosocial Factors.
Exploring tech's role in Alzheimer's diagnosis in Latin America: AI, wearables, and smart homes enhance care. 🧠💡
Weekly Health & AI Digest – December 29, 2025
Here are the latest breakthroughs in health & AI (December 29, 2025 week) 🔹 Mental Health Act Information Now Part of London Care Record Mental Health Act information is now integrated into the London Care Record, enhancing patient care and...
Mental Health Act Information Now Part of London Care Record
Mental Health Act information is now integrated into the London Care Record, enhancing patient care and communication. 🏥📋
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. 📊❤️
Compact vision language models enable efficient and interpretable optical coherence tomography through layer-specific multimodal learning.
Compact vision-language models enhance OCT analysis, achieving 96% accuracy in disease classification. Review of PubMed article highlights significant advancements. 📊👁️
AI-assisted sentinel lymph node examination and metastatic detection in breast cancer: the potential of ChatGPT for digital pathology research.
AI boosts breast cancer lymph node diagnosis: 92.2% accuracy, 100% sensitivity, 80.6% specificity. Promising future for pathology! 🩺📊
Coronary Artery Calcification: Decoding Mechanisms, Innovations, and Translational Strategies from Bench to Bedside.
Coronary artery calcification (CAC) reveals complex mechanisms and innovations in treatment. Key findings include 98% IVL success and 99.2% AI imaging accuracy. 🫀🔬
Mental Health Apps Recognized in Global Women’s Digital Health Challenge
Mental health apps win global award for supporting women during pregnancy and motherhood. 🌍🤱 Solutions aim to improve wellbeing.
Evaluating Retrieval-Augmented Generation-Large Language Models for Infective Endocarditis Prophylaxis: Clinical Accuracy and Efficiency.
Evaluating RAG-LLMs for infective endocarditis prophylaxis shows accuracy up to 90% with preprompting. 📊🦷