Assessing Health Care Professionals’ Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.
January 25, 2026AI 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.
January 25, 2026Breast 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.
January 25, 2026Biatrial 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.
January 24, 2026Data 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
January 24, 2026Eolas 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?
January 24, 2026Large language models may offer reliable insights on SIDS, but quality varies. Key findings from Aydın & Naz's study. 📊👶
Expansion of NHS Drone Delivery Network in South West London
January 24, 2026NHS expands drone delivery in South West London 🚁. Faster sample transport aims to improve patient care and reduce emissions. 🌍
Development of a questionnaire for assessing the use of ChatGPT in primary and secondary disease prevention.
January 23, 2026Exploring ChatGPT's Role in Health Prevention: A Validated Questionnaire Study 📊🤖
An interpretable deep learning model for predicting endometrial cancer molecular subtypes from H&E-stained slides.
January 23, 2026Deep learning predicts endometrial cancer subtypes with 86.7% accuracy, aiding personalized treatment strategies. 📊🩺