Prediction of renal cell carcinoma: Development and validation of machine learning model.
Machine learning predicts renal cell carcinoma with 95.5% AUC using 21 clinical variables. Early detection improves patient outcomes! 📊🔍
Weekly Health & AI Digest – January 26, 2026
Here are the latest breakthroughs in health & AI (January 26, 2026 week) 🔹 Assessing Health Care Professionals’ Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research. AI in healthcare workflows: 14...
Assessing Health Care Professionals’ Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.
AI in healthcare workflows: 14 professionals shared insights on CDSS impact, revealing 61 core ideas for effective integration. 🤖💉
Breast cancer frontiers: mapping molecular signals, intelligent diagnostics, and adaptive therapies.
Breast cancer innovations: AI, multi-omics, and personalized therapies enhance treatment precision and patient outcomes. 📈💉
Biatrial cardioneuroablation guided by robotic magnetic navigation and artificial intelligence-based mapping in vagal bradyarrhythmias: A controlled observational study.
Biatrial cardioneuroablation shows promise for vagal bradyarrhythmias, improving symptoms in 12 patients over 12 months. 📈💓
Decoding Data Science Upskilling: Insights From 5 Years of Data Science Projects at the Centers for Disease Control and Prevention, 2019-2023.
Data science in public health: 112 projects, 54% visualization, 42% AI/ML growth from 33% to 56% (2019-2023). 📊💻
Eolas Medical Secures £9 Million to Enhance Clinical Knowledge Platform
Eolas Medical raises £9 million to enhance its clinical knowledge platform, improving decision-making for healthcare professionals. 💰📈
Can large language models provide quality, reliable and readable information about sudden infant death syndrome?
Large language models may offer reliable insights on SIDS, but quality varies. Key findings from Aydın & Naz's study. 📊👶