Research group based at MIT dedicated to the intersection of critical care, clinical medicine, and data science.

Cambridge, MA
Joined August 2015
馃殌 Last week we held the HASTE Datathon at Brown! High school students teamed up with people from diverse backgrounds- computer scientists, health professionals, and mentors to dive into data and tackle health inequities. #BrownUniversity #DataScience #MIT #criticaldata #datathon
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馃摉聽Our latest article "The impact of commercial health datasets on medical research and health-care algorithms"聽is available on the Lancet Digital Health! bit.ly/3n6feYS
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馃摌 Read our new article on PLOS DIGITAL HEALTH on "Equity should be fundamental to the emergence of innovation": bit.ly/3GOhKcY
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鉁忥笍聽Our newest article "Critical Bias in Critical Care Devices" is out on Critical Care Clinics!聽READ HERE:聽bit.ly/3KmaS8Q
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馃摉聽Our latest article "Fairness metrics for health AI: we have a long way to go" is out on聽eBioMedicine (part of The Lancet Discovery Science) today!聽READ HERE:聽bit.ly/3ZMI4LQ
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Please join us in Auckland, New Zealand on 17-19 March for the AI in Healthcare Conference and Datathon. More here: hackaotearoa.nz/ #hackaotearoa
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馃憖 Our new article "#ChatGPT passing #USMLE shines a spotlight on the flaws of medical education" is out now on @PLOSDigiHealth :聽bit.ly/3RWRIZi
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馃摌聽Read our new article on #naturemachineintelligence聽- "An extension to the FDA approval process is needed to achieve AI equity":聽go.nature.com/3KnYS7p
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馃摚聽Come join us at the聽#WiDSDatathon2023 Climate Change Webinar on聽February 3. In this panel discussion, we speak with experts in a wide range of domains and institutions in order to explore the multi-faceted challenges posed by climate change: bit.ly/3JqokIU
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馃憖 Have you seen our latest聽article "Leveraging electronic health records for data science: common pitfalls and how to avoid them" in the聽@LancetDigitalH - bit.ly/3C2dLWU
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