New method assesses and improves the reliability of radiologists’ diagnostic reports
The framework helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays.
The framework helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays.
A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.
The MIT senior will pursue graduate studies in the UK at Cambridge University and Imperial College London.
Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.
In a talk at MIT, White House science advisor Arati Prabhakar outlined challenges in medicine, climate, and AI, while expressing resolve to tackle hard problems.
Alumni-founded Ambience Healthcare automates routine tasks for clinicians before, during, and after patient visits.
Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.