Medical devices

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Why teaching AI about symmetry could make prenatal diagnosis more reliable

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical engineering and computer science (EECS), Health care, Health sciences and technology, Imaging, Jameel Clinic, Machine Learning, Medical devices, MIT Schwarzman College of Computing, MIT-IBM Computing Research Lab, National Institutes of Health (NIH), Research, School of Engineering

Despite millions of years of evolution, the development of the human fetus remains a complex process that is vulnerable to genetic, environmental, and metabolic disruptions. These disruptions could result in developmental abnormalities, starting with one of the first organs to begin developing in the fetus that continues to develop after birth: the brain.In a routine

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New AI technique could make minimally invasive surgeries safer and more precise

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical engineering and computer science (EECS), Health care, Imaging, Jameel Clinic, Machine Learning, Medical devices, MIT Schwarzman College of Computing, MIT-IBM Computing Research Lab, National Institutes of Health (NIH), Research, School of Engineering

Researchers created a new technique that accurately and rapidly matches X-rays captured during surgery with a patient’s preoperative 3D medical scan. This method could make it easier for clinicians to precisely pilot minimally invasive surgical tools, leading to faster and safer procedures.Clinicians perform many minimally invasive surgeries using real-time X-rays to help them steer devices

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Lifesaving Lincoln Laboratory device wins 2026 Excellence in Technology Transfer Award

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The Federal Laboratory Consortium (FLC) selected AI-GUIDE, a medical device developed by MIT Lincoln Laboratory and Massachusetts General Hospital (MGH), for its 2026 Excellence in Technology Transfer Award. This award recognizes federal laboratories and collaborators who have accomplished outstanding work in the process of transferring technology. With funding from the U.S. Army’s Combat Casualty Care

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