New AI method captures uncertainty in medical images
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.
MIT.nano Immersion Lab works with AR/VR startup to create transcontinental medical instruction.
Dermatologists and general practitioners are somewhat less accurate in diagnosing disease in darker skin, a new study finds. Used correctly, AI may be able to help.
An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.
MIT researchers develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
The MIT and Accenture Convergence Initiative for Industry and Technology announces the 2023-24 graduate fellows.
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.
MIT researchers investigate the causes of health-care disparities among underrepresented groups.
MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will support up to 10 postdocs annually over five years.
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.