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 ...

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 ...

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 ...

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 ...

Mashable’s series Algorithms explores the mysterious lines of code that increasingly control our lives — and our futures. In a perfect world, the computer science that powers these algorithms would ...

Medical algorithms are used across the health-care spectrum to diagnose disease, offer prognoses, monitor patients’ health and assist with administrative tasks such as appointment scheduling. But the ...

A widely used algorithm that predicts which patients will benefit from extra medical care dramatically underestimates the health needs of the sickest black patients, amplifying long-standing racial ...

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 ...

New York City announced a recent effort to end race adjustments in clinical algorithms used by the city's hospitals. Experts say these adjustments perpetuate racist assumptions in healthcare and can ...

Black people in the US may be missing out on healthcare because a widely used algorithm is racially biased. The proportion of black people referred for extra care would more than double if the bias ...