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

Replies Reposts Media

MIT Critical Data
@MITCriticalData
Jul 24, 2024
Epistemic diversity is key for AI in healthcare. Public datasets like MIMIC and eICU-CRD boost community diversity. Inclusive science is crucial as traditional "experts" haven't ensured equity. Truth/knowledge and justice are inseparable.
journals.plos.org
Diversity and inclusion: A hidden additional benefit of Open Data
Author summary In light of the significance of data access to the mitigation of bias in clinical models, we hypothesize that researchers who leverage existing open-access datasets rather than...
MIT Critical Data
@MITCriticalData
Jun 30, 2024
I surveyed ICU clinicians about 6-month survival rates of dialysis patients; most couldn't answer. This highlights a systems thinking gap. Our paper gathers global data on ICU dialysis outcomes and urges more studies on its impact on quality of death.
karger.com
Epidemiology of Renal Replacement Therapy for Critically Ill Patients across Seven Health Jurisdi...
Abstract. Introduction: Acute kidney injury (AKI) requiring treatment with renal replacement therapy (RRT) is a common complication after admission to an intensive care unit (ICU) and is associated...
MIT Critical Data
@MITCriticalData
Jun 17, 2024
🚀 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
MIT Critical Data
@MITCriticalData
May 28, 2024
Please check out our latest article here: sciencedirect.com/science/articl… In this paper, we discover that blood sugars are not obtained with the same frequency across patient demographics. If we are not careful, AI will widen the healthcare divide.
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MIT Critical Data
@MITCriticalData
Apr 29, 2024
Please check out our latest article here: nature.com/articles/s4225… No one group is smart enough to discover all the data issues in order to build fair models. For a group to claim such a skill is AI in action: Arrogance and Ignorance.
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