Uniting clinicians, data scientists, engineers, and research communities worldwide to revolutionize healthcare in a way that is democratised, decentralised, and equitable.
MIT Critical Data works across three core areas to advance equitable AI in healthcare.
Leading the scientific community in achieving AI health equity through innovative studies on racial and ethnic health disparities, algorithmic bias, and mortality prediction.
Developing data communities and local AI capacity through global datathons, workshops, and training programs across 39 countries.
Sharing open-source health datasets, software, and tools for healthcare innovation — freely accessible to researchers everywhere.
World-class, freely accessible clinical data enabling research at every level.
One of the largest freely accessible critical care datasets, with over 10,000 citations by researchers worldwide.
mimic.mit.edu →A platform housing hundreds of open health datasets and open-source software tools for biomedical research.
physionet.org →A freely available multi-center critical care database complementing MIMIC, supporting diverse ICU research.
eicu-crd.mit.edu →