AI is increasingly finding its way into healthcare decisions, from diagnostics to treatment decisions to robotic surgery. As I’ve written about in this newsletter many times, AI is sweeping the ...
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 ...
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 ...
An algorithm used by major hospitals and healthcare providers misjudged how sick black patients were compared with their white counterparts, allowing healthier white patients to get additional medical ...
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 ...
A medical algorithm capable of real-time monitoring of electronic health records can predict whether a hospital patient will deteriorate hours in advance and alert physicians about their decline. 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 ...
The Doris Duke Charitable Foundation awarded more than $10 million in grant money to five medical organizations last month to study and address the “potentially dangerous” consequences of race misuse ...
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 ...
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Bias in medical algorithms is one of AI’s long-running issues. Will new guidelines ignite action?
Hello and welcome to Eye on AI. In today’s edition…An international initiative aims to tackle bias in medical AI algorithms; ...
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