In the last decade or so, artificial intelligence has found its way into just about every technology-heavy sector of society. From music recommendation services to targeted advertising, machines ...

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 ...

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 ...

ABU DHABI, 11th August, 2026 (WAM) -- The UAE healthcare system is rapidly expanding its deployment of medical algorithms and smart technology to enhance operational efficiency, improve diagnostic and ...

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 ...

While it's true that “racism” has left its fingerprints over medicine, STAT recently began a new investigative series looking at racial bias baked into the clinical algorithms used by physicians. As ...

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 ...

Editor’s Note: This story was produced by Consumer Reports, an independent, nonprofit member organization that works to create a fair and just marketplace. Sign up for CR’s free newsletters. When ...

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 ...

Medical algorithms routinely make decisions about patients’ health care, yet they are rife with bias. Health equity must be built into the development and deployment of these health algorithms. When ...