Health Care
Health Care

Health Care

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With AI, researchers predict the location of virtually any protein within a human cell

Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

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Study shows vision-language models can’t handle queries with negation words

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

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Q&A: A roadmap for revolutionizing health care through data-driven innovation

A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.

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Making AI models more trustworthy for high-stakes settings

A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.

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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.

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Can deep learning transform heart failure prevention?

A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.

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Algorithms and AI for a better world

Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.

Algorithms Artificial Intelligence Computer science and technology Data Electrical engineering and computer science (EECS) Faculty Health Care Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Profile School of Engineering social media Technology and society

Algorithms and AI for a better world

Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.

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Study reveals AI chatbots can detect race, but racial bias reduces response empathy

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.

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Lara Ozkan named 2025 Marshall Scholar

The MIT senior will pursue graduate studies in the UK at Cambridge University and Imperial College London.