AI System Diagnoses Brain MRIs in Seconds with High Accuracy
AI model analyzes brain MRIs in seconds, achieving 97.5% accuracy in diagnosing neurological conditions. 🧠⚡️
Mixture-of-Skip-Connection Deep Learning Model to Classify Stroke Severity from Diffusion Weighted Imaging Based on NIHSS.
Innovative TRACT-NET model predicts stroke severity with 81.37% accuracy using DWI scans and NIHSS scores. 🧠📊
New AI Tool Assesses Heart Attack Risks in Cancer Patients
New AI tool predicts heart attack risks in cancer patients. This advancement could improve patient care and outcomes. ❤️🩺
AI Tool Aims to Personalize Ovarian Cancer Treatment from Diagnosis
AI tool may personalize ovarian cancer treatment from diagnosis, aiding patient response predictions. 🤖🎗️
Clinical development of molecular residual disease (MRD) and multi-cancer early detection (MCED) using liquid biopsy multiomics with artificial intelligence (AI).
Revolutionizing cancer detection: AI-driven multi-omics enhances sensitivity for MRD and MCED assays. 📊🔬
Population Health Analytics Enhancing Early Intervention in the NHS
Population health analytics improve early intervention in the NHS, benefiting nearly nine million patients. 📊👩⚕️
Compact large language models for title and abstract screening in systematic reviews: An assessment of feasibility, accuracy, and workload reduction.
Compact LLMs enhance systematic review efficiency: 100% sensitivity, low precision, and significant workload savings. 📊🤖
Patients Can Enroll in Cancer Trials Through NHS App
NHS App now allows patients to enroll in cancer trials. This aims to improve treatment access and outcomes. 📱🎗️
Scottish GPs Highlight Need for Improved IT Systems
Scottish GPs report inadequate IT systems, impacting patient care. RCGP urges government to prioritize modern technology for efficiency. 💻🩺
Diagnostic performance of convolutional neural network-based AI in detecting oral squamous cell carcinoma: a meta-analysis.
AI in Oral Cancer Detection: CNNs show 94% sensitivity & specificity! 📊 High diagnostic potential, but more studies needed. 🦷