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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.
Knowledge Graph-Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation.
AI-Driven H-SYSTEM Achieves 94.87% Accuracy in Hypertensive Intracerebral Hemorrhage Diagnosis 🧠📊
Joint Commission and CHAI Collaborate on AI Best Practices for Healthcare
Joint Commission collaborates with CHAI to establish AI best practices in healthcare. Guidance expected...
Recommendations for Successful Development and Implementation of Digital Health Technology Tools.
Digital health tools can transform care delivery. Key recommendations include interdisciplinary teams, patient feedback,...
Machine Learning Tool Developed for Colorectal Cancer Diagnosis and Monitoring
New machine learning tool aids in colorectal cancer diagnosis and monitoring by analyzing metabolic...
Construction of a risk prediction model for occupational noise-induced hearing loss using routine blood and biochemical indicators in Shenzhen, China: a predictive modelling study.
Machine learning predicts occupational noise-induced hearing loss using blood indicators. AUC 0.942, sensitivity 0.875,...
Collaborative IT Solutions for Rural Hospitals’ Sustainability and Security
Collaborative IT solutions can enhance sustainability and security for rural hospitals. 🤝💻 Addressing financial...
Challenges and Opportunities for Global Cervical Cancer Elimination: How Can We Build a Model for Other Cancers?
Cervical cancer remains a leading cause of death among women. Effective HPV vaccination and...
Mayo Clinic Partners with hellocare.ai for AI-Enhanced Virtual Care
Mayo Clinic partners with hellocare.ai to enhance virtual care using AI technology, aiming to...
AI-delirium guard: Predictive modeling of postoperative delirium in elderly surgical patients.
AI Model Predicts Postoperative Delirium in Elderly Patients with 85% Accuracy 🤖🩺