Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.

Many people have no idea what their risk is—until it's too late.

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

It’s well-established that routine mammograms are essential for assessing breast cancer risk, but recent research has found that they can also play a key role in predicting cardiovascular disease. The ...

An AI tool called SleepFM analyzes sleep data from a single night to identify patterns linked to disease risk years before ...

A total of 590 patients were identified, 432 in the development set and 158 in the validation set. The median age was 51 years, and 55.8% (329 of 590) experienced grade 3 or 4 toxicity. The ...

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

New research shows that the use of an AI-enabled digital stethoscope more than doubled the identification of moderate to severe valvular heart disease during routine clinical examinations, compared to ...

With more than a decade of experience, Nelson covers Apple and Google and writes about iPhone and Android features, privacy and security settings, and more. AI is the ultimate "work smarter" shortcut ...

A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.