Add Yahoo as a preferred source to see more of our stories on Google. AI is increasingly finding its way into healthcare decisions, from diagnostics to treatment decisions to robotic surgery. As I’ve ...

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Imagine you’re a nurse practitioner (NP) in the emergency department ordering steroids for a patient with an asthma ...

We're in the midst of an AI boom. AI is everywhere. If you've used autocorrect when typing or texting, looked for answers online using a search engine, or used facial recognition software to unlock ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

Artificial intelligence (AI) and algorithmic decision-making systems — algorithms that analyze massive amounts of data and make predictions about the future — are increasingly affecting Americans’ ...

A machine-learning algorithm can register brain scans and other 3D images more than 1000 times faster than traditional systems. (Courtesy: the researchers) Medical image registration involves ...

Artificial intelligence and medical algorithms are deeply intertwined with our modern health care system. These technologies mimic the thought processes of doctors to make medical decisions and are ...

Artificial intelligence algorithms are everywhere in healthcare. They sort through patients’ data to predict who will develop medical conditions like heart disease or diabetes, they help doctors ...

hat’s in the box? The “black box,” that is. Increasingly, doctors are relying on sophisticated, and at times inscrutable, algorithms to make healthcare recommendations—a practice dubbed “black box ...

Most medical algorithms were developed using information from people treated in Massachusetts, California, or New York, according to a new study. Those three states dominate patient data — and 34 ...

Others combine medical and demographic information to recommend a specific diagnostic test, or produce a risk score that helps determine whether a patient is a good candidate for a particular ...