Scientists at Harvard Medical School affiliate Boston Children’s Hospital have developed a catheter that uses haptic vision and machine learning to self-navigate its way through a still-beating heart, ...

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

We have screening guidelines for diseases like breast and colon cancer, and they help save many lives. We need a concerted effort to pursue an evidence-guided path for cardiovascular disease screening ...

Heart attack symptoms are sometimes similar to non-heart-related conditions, making diagnosis tricky. UK researchers have turned to machine learning to provide doctors with a fast and accurate way of ...

Just as with other medical requirements, the COVID-19 vaccination helps ensure the best possible outcome for organ transplant patients. Image - Lena Gulenko, (CC BY 4.0) Just as with other medical ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

UC San Francisco researchers have found a way to double doctors’ accuracy in detecting the vast majority of complex fetal heart defects in utero – when interventions could either correct them or ...

A branch of artificial intelligence (AI), called machine learning, can accurately predict the risk of an out of hospital cardiac arrest -- when the heart suddenly stops beating -- using a combination ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...