Signals shaping
health AI.
A focused stream of research, industry developments and ideas selected for people building the future of health.
Research and developments, with a clear point of view.
Electronic Nose Technology for Early Detection of Ovarian Cancer
Electronic nose technology may detect early signs of ovarian cancer through blood analysis. Promising...
AICellType: a large language model-based platform for accurate cell type annotation.
AICellType: A breakthrough in cell type annotation with 76% accuracy using LLMs! 🧬📊 Explore...
Weekly Health & AI Digest – April 20, 2026
Here are the latest breakthroughs in health & AI (April 20, 2026 week) 🔹...
2026: A Key Year for Electronic Health Records in the UK
2026 is crucial for UK electronic health records. Predictive care will shape the future...
Convolutional Neural Networks in Chronic Wound Segmentation and Tissue Classification Using Real-World Images.
AI in Chronic Wound Care: CNNs Achieve DSC of 0.927 📊, IoU of 0.868...
Study Reveals Limitations in AI Medical Triage Systems
Study shows AI medical triage systems may misdirect users in serious cases, raising concerns...
A machine learning model to simplify recognition of patients with atrial fibrillation based on diagnostic codes in Swedish primary health care.
Machine learning enhances atrial fibrillation detection in Swedish healthcare, improving diagnostic accuracy and patient...
Potential Review of Palantir’s NHS Contract Amidst Performance Concerns
Palantir's NHS contract may face review due to performance issues. Alternatives could be considered...
Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA): A Prospective Observational Trial of an Intelligent Decision Support System.
AI in Chest Tube Management: CheLSEA's 93% Accuracy in Removal Predictions 📊🤖