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MIT Critical Data

@MITCriticalData

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

 Cambridge, MA
criticaldata.mit.edu
Joined August 2015
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  • Followers1.6K
🚀 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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Image from MIT Critical Data (@MITCriticalData)
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📖 Our latest article "The impact of commercial health datasets on medical research and health-care algorithms" is available on the Lancet Digital Health! bit.ly/3n6feYS
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📘 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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✏️ Our newest article "Critical Bias in Critical Care Devices" is out on Critical Care Clinics! READ HERE: bit.ly/3KmaS8Q
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📖 Our latest article "Fairness metrics for health AI: we have a long way to go" is out on eBioMedicine (part of The Lancet Discovery Science) today! READ HERE: 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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👀 Our new article "#ChatGPT passing #USMLE shines a spotlight on the flaws of medical education" is out now on @PLOSDigiHealth : bit.ly/3RWRIZi
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📘 Read our new article on #naturemachineintelligence - "An extension to the FDA approval process is needed to achieve AI equity": go.nature.com/3KnYS7p
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📣 Come join us at the #WiDSDatathon2023 Climate Change Webinar on 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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👀 Have you seen our latest article "Leveraging electronic health records for data science: common pitfalls and how to avoid them" in the @LancetDigitalH - bit.ly/3C2dLWU
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📘 Read our new article on PLOS DIGITAL HEALTH on "Addressing the “elephant in the room” of AI clinical decision support through organisation-level regulation": bit.ly/3E8rdet
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📣 Come join us at the at the Healthcare Datathon face-to-face in concurrent cities (Brisbane, Adelaide, Melbourne and Sydney) or virtually (Teams will be able to connect via the virtual platform). MORE DETAILS HERE: intellihq.com.au/medical-dat… #mitcriticaldata #datathon #australia
Image from MIT Critical Data (@MITCriticalData)
Image from MIT Critical Data (@MITCriticalData)
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📣 Come join us at the Eitri Medical Datathon 2022 during September 16th to 19th in Bergen, Norway! The event will unleash the potential of data in healthcare. Register to join us today: eitrilab.no/datathon2022 #mitcriticaldata #datathon #norway
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“Otherwise, we risk perpetuating and magnifying health inequities with artificial intelligence.”
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Read our new article “Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study” on Journal of Digital Imaging.
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“We’re not ready for AI — no sector really is ready for AI — until we’ve figured out that the computers are learning things that they’re not supposed to learn.” @KatieMPalmer on STAT: statnews.com/2022/06/28/heal…
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