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.
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.
Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
Co-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.
During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.
The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.
A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.
The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.
BackgroundAccording to Dr. Alan Watkins, it is possible to live in a state of flow by learning how regulate our physiology. We can accomplish this by focusing on BREATH (breathing evenly, rhythmically and through the heart every day) and regulating our…