A study co-authored by MIT researchers finds that algorithms based on clinical medical notes can predict the self-identified race of a patient, reports Katie Palmer for STAT. “We’re not ready for AI — no sector really is ready for AI — until they’ve figured out that the computers are learning things that they’re not supposed to learn,” says Principal Research Scientist Leo Anthony Celi.
Researchers at MIT and Harvard Medical School have created an artificial intelligence program that can accurately identify a patient’s race based off medical images, reports Tony Ho Tran for The Daily Beast. “The reason we decided to release this paper is to draw attention to the importance of evaluating, auditing, and regulating medical AI,” explains Principal Research Scientist Leo Anthony Celi.
Overjet, co-founded by Wardah Inam SM ’12 PhD ’16, has been awarded landmark clearance from the Food and Drug Administration to use their software aimed at detecting and outlining cavities in patients’ X-rays, reports Alexandra S. Levine for Forbes. “Everybody has had a dental disease,” says Inam. “People have had good and bad experiences. And moving the industry towards making [a] more clinically precise, efficient patient focus is something that will impact every person in the world.”
An international team of scientists, including researchers from MIT and Harvard, have found that an artificial intelligence program trained to read X-rays and CT scans can successfully predict a person’s race with 90 percent accuracy, reports Hiawatha Bray for The Boston Globe. "The research effort was born when the scientists noticed that an AI program for examining chest X-rays was more likely to miss signs of illness in Black patients," writes Bray.
Researchers from MIT have detected the brightest pulsar ever recorded, reports Brook Hays of UPI. “Despite its small dimensions and modest mass, the pulsating dead star is burning with the energy of 10 million suns,” writes Hays.