Health sciences and technology
Health sciences and technology

Health sciences and technology

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What to do about AI in health?

Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.

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New hope for early pancreatic cancer intervention via AI-based risk prediction

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

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MIT in the media: 2023 in review

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.

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2023-24 Takeda Fellows: Advancing research at the intersection of AI and health

Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.

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How an archeological approach can help leverage biased data in AI to improve medicine

Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.

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A. Michael West: Advancing human-robot interactions in health care

When he isn’t investigating human motor control, the graduate student gives back by volunteering with programs that helped him grow as a researcher.

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How machine learning models can amplify inequities in medical diagnosis and treatment

MIT researchers investigate the causes of health-care disparities among underrepresented groups.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Government Health Care Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing School of Engineering Special events and guest speakers

Is medicine ready for AI? Doctors, computer scientists, and policymakers are cautiously optimistic

With the artificial intelligence conversation now mainstream, the 2023 MIT-MGB AI Cures conference saw attendance double from previous years.

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Joining the battle against health care bias

Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.