Deep learning-assisted aortic stenosis detection and grading based on multiview versus single-view echocardiography.
Deep learning enhances aortic stenosis detection: AUC 0.942, severe AS AUC 0.976. Promising for clinical workflows! 📊❤️
Biomedical philanthropy promises dramatic expansion and AI focus.
Biomedical philanthropy expands with AI focus, as Chan Zuckerberg Initiative prioritizes science for impactful funding. 💡💰
Weekly Health & AI Digest – November 10, 2025
Here are the latest breakthroughs in health & AI (November 10, 2025 week) 🔹 Task optimized vision transformer for diabetic retinopathy detection and classification in resource constrained early diagnosis settings. Task-Optimized Vision Transformer achieves 99% accuracy in diabetic retinopathy detection...
Task optimized vision transformer for diabetic retinopathy detection and classification in resource constrained early diagnosis settings.
Task-Optimized Vision Transformer achieves 99% accuracy in diabetic retinopathy detection on low-cost hardware. 🩺👁️
Developments in diagnosis and treatment of early hypopharyngeal carcinoma and precancerous lesions: A review.
Early hypopharyngeal carcinoma: AI and ME-NBI enhance detection; minimally invasive surgery improves outcomes. 📈🔍
ResNet-EfficientNet powered framework for high-precision cough-based classification of infectious diseases.
Deep learning models like ResNet achieve 98.5% accuracy in COVID-19 cough sound classification. 📊🤒
A Prompt Engineering Framework for Large Language Model-Based Mental Health Chatbots: Conceptual Framework.
Exploring MIND-SAFE: A Framework for Ethical AI in Mental Health Chatbots 🤖🧠
Exploring an LLM’s Use in Supporting Journal Club Preparation and Discussion Among Residents.
LLMs enhance journal club engagement for dental residents, improving comprehension and confidence. Key skills: prompt-writing, critical thinking. 📚🤖
Children’s drug research and development incentives and market pricing optimization based on medical imaging.
Children's drug development: 32.7% tumor reduction via imaging data. Optimized pricing ensures accessibility and R&D efficiency. 📉💊
Cracking the code: a head-to-head comparison of expert clinicians and artificial intelligence in diagnosing rare diseases.
AI vs. Clinicians: 28% Diagnosis Match in Rare Diseases 🤖🩺