
Collaboration Between UHL, UHN, and Microsoft to Enhance AI in Healthcare
UHL, UHN, and Microsoft partner to advance AI in healthcare, aiming to improve patient care and streamline services. π€π»
Discover the newest research about AI innovations in π¦ Epidemiology.

UHL, UHN, and Microsoft partner to advance AI in healthcare, aiming to improve patient care and streamline services. π€π»

AI detects fatty liver disease using chest X-rays, offering a cost-effective and accessible diagnostic method. π©»π‘

AI ECG-derived age predicts CABG outcomes: 44% older than chronological age, linked to higher comorbidities and mortality. πβ€οΈ

AI in healthcare shows promise but faces barriers like complexity and fragmented regulations. Collaboration is key for progress. π€π

Deep-learning algorithms enhance lung lesion detection in CT scans, improving image quality significantly. ππ©»

Deep learning predicts tumor response in large HCC: HTI shows 54.45% ORR vs. 21.65% for HAIC. ππ§¬

“OptiStack Classifier: Enhancing CVD Risk Prediction with Ensemble Feature Engineering and Machine Learning Techniques πβ€οΈ”

Machine learning models show 0.84 C-index for ARDS mortality prediction, outperforming traditional scoring systems. ππ‘
New platform BEACON enhances global infectious disease surveillance using AI and expert networks. ππ¦ Rapid threat detection and analysis.

Epidemiology of atopic dermatitis reveals 10-20% prevalence globally, with significant comorbidities like asthma and allergic rhinitis. ππ©Ί