Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
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 ...
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AI model can predict a person's disease risk using sleep data
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 ...
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 ...
In partnership with the Gates Foundation, Abu Dhabi unveils a multi-institution AI platform designed to accelerate agricultural innovation, strengthen food security and support millions of smallholder ...
Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare decisions, regardless of technological improvements or funding.
In the past decade, AI’s success has led to uncurbed enthusiasm and bold claims – even though users frequently experience its ...
A Marshall University – University of Missouri team has reported a web-based deep-learning platform that combines six common ...
There are no established treatment options for patients with meningioma recurring after surgery and radiotherapy.
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
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Common blood signals explain why chronic diseases cluster as we age
This population-based study shows that shared and pattern-specific blood biomarkers reflect biological vulnerability ...
SleepFM showed especially strong results for Parkinson’s disease (C-index 0.89), dementia (0.85), hypertensive heart disease ...
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