Stanford Medicine scientists and their colleagues created the first artificial intelligence model that can predict more than 100 health conditions from one night’s sleep.
Study Finds on MSN
Scientists decode sleep patterns to forecast your future health risks
Like a drowsy crystal ball, AI can now use sleep to predict your medical future In A Nutshell Stanford researchers trained an ...
A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...
A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
Abstract: Heart disease affects the quality of life and even the safety of countless people. Exploring a model that can predict heart disease is significant for prevention and policy formulation. In ...
Abstract: The heart is undeniably the most vital organ in the human body, essential for sustaining life through its proper and continuous functioning. A healthy and well-functioning heart is crucial ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
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