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3 Questions: Should we label AI systems like we do prescription drugs?

Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.

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AI model identifies certain breast tumor stages likely to progress to invasive cancer

The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.

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Symposium highlights scale of mental health crisis and novel methods of diagnosis and treatment

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.

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MIT Generative AI Week fosters dialogue across disciplines

During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.

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A pose-mapping technique could remotely evaluate patients with cerebral palsy

The machine-learning method works on most mobile devices and could be expanded to assess other motor disorders outside of the doctor’s office.

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How to help high schoolers prepare for the rise of artificial intelligence

A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.

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Supporting sustainability, digital health, and the future of work

The MIT and Accenture Convergence Initiative for Industry and Technology selects three new research projects to support.

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Coherence AI answers the question: “what is the best way to breathe?”

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…

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Artificial Intelligence in Healthcare

Deep Learning for Identifying Metastatic Breast Cancer (Dayong Wang et al., 2017)Artificial Intelligence and Machine Learning is revolutionizing the healthcare industry. Here’s what you need to know.Machine Learning is a growing and diverse field of Ar…