Localizing the epileptogenic zone using deep learning and neuroimaging: A systematic review.
Deep learning enhances epileptogenic zone localization in drug-resistant epilepsy, yet bias and clinical applicability remain concerns. 📊🧠
Blood-Based Epigenetic Markers Enhance Risk Assessment for Prediabetes
Blood tests may reveal epigenetic markers for prediabetes risk. AI aids in early identification of potential complications. 🩸🔍
Evolutionary-Based Deep Learning Network Model using Adaptive Mixing Differential Evolution and Application in Acute Pulmonary Embolism.
Revolutionary deep learning model predicts acute pulmonary embolism with 93.76% accuracy! 📊💡
Weekly Health & AI Digest – March 16, 2026
Here are the latest breakthroughs in health & AI (March 16, 2026 week) 🔹 Aston University and BioCare Collaborate on AI-Driven Nutrition App Aston University and BioCare are developing an AI nutrition app for personalized health advice. 🍏🤖 ——- 🔹...
Aston University and BioCare Collaborate on AI-Driven Nutrition App
Aston University and BioCare are developing an AI nutrition app for personalized health advice. 🍏🤖
Discovery of a novel compound against BmNPV using virtual screening based on the protein structure of the viral whole genome.
Novel antiviral compound identified against BmNPV using AI-driven virtual screening. Significant larval survival improvement observed. 🦋💊
X-on Health and TORTUS AI Join NHS England Ambient Voice Technology Registry
X-on Health and TORTUS AI are now on the NHS England Ambient Voice Technology Registry. This aims to reduce administrative tasks in GP practices. 🏥💻
Impact of Artificial Intelligence on the Care of Terminally Ill Patients.
AI enhances palliative care, improving prognostication and decision support, but cannot replace human compassion. 🤖❤️
Importance of Governance in AI Clinical Decision Support
Governance in AI clinical decision support is crucial for safe and effective healthcare. 🏥🤖 Validated AI can enhance clinician support.
Seeing What’s on the Plate: Composition-Aware Fine-Grained Food Recognition for Dietary Analysis.
Revolutionary food recognition framework achieves 82.28% accuracy! 🍽️ Enhances dietary analysis through composition-aware techniques. 📊