
A Laboratory-Based Federated Learning Deployment on Real Devices for ECG-Based Clinical Decision Support Systems.
Federated Learning enhances ECG data privacy in clinical decision support, achieving 93% F1 score on real IoT devices. ππ‘
Discover the newest research about AI innovations in π§ Digital Therapeutics.

Federated Learning enhances ECG data privacy in clinical decision support, achieving 93% F1 score on real IoT devices. ππ‘

AI-driven virtual physiotherapy assistants enhance home rehabilitation, improving adherence and outcomes. Key challenges include sensor accuracy and engagement. π€π‘

Exploring intelligent sensing: Machine learning meets hydrogels & ionogels for health monitoring and beyond! π€π§

Revolutionizing video analysis in child behavior studies with ADVANCE toolkit: 2-5 individuals tracked accurately! π₯πΆ

Personalized digital health tools for prediabetes show promise in enhancing engagement and self-management. ππ»

AI in health care presents both opportunities and challenges. The JAMA Summit Report highlights expert insights on its future. π€π
AI improves diagnostic accuracy by analyzing electronic health records, revealing hidden patterns for better patient care. π©Ίπ

AI improves heart attack risk prediction with the new GRACE 3.0 score, enhancing patient treatment decisions. β€οΈπ©Ί

AI aids in developing personalized cancer vaccines by identifying neoantigens, enhancing immune response against tumors. π§¬π

AI improves seizure prediction by utilizing future data insights, enhancing accuracy by up to 44.8%. π§ π