Please provide your email address to receive an email when new articles are posted on . Inappropriately factoring race into clinical decisions risks worse care for patients from underrepresented ...
This is Part 1 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. Pediatrician Alexandra Epee-Bounya had had enough. In ...
With an approaching federal deadline, healthcare and legal experts have developed a framework for evaluating the use of AI-powered algorithms. As AI, clinical algorithms and predictive analytics ...
Anirban Basu received funding support from a consortium of ten biomedical companies to the University of Washington through an unrestricted gift. Health practitioners are increasingly concerned that ...
Algorithms are ubiquitous in medicine. They can take the form of a flowchart, a simple equation, or a complicated AI model, and are used to help clinicians diagnose diseases, predict the chances of ...
New York City announced a recent effort to end race adjustments in clinical algorithms used by the city's hospitals. Experts say these adjustments perpetuate racist assumptions in healthcare and can ...
The most popular data are vital signs, which include such things as blood pressure, heart rate, respiration rate, temperature, oxygen saturation and so forth. Often these data are fed into the EHR ...
Our study used the linked SEER-Medicare data. The patient samples included fee-for-service Medicare beneficiaries diagnosed with lung cancer from 2010 to 2011 (development cohort) and 2012 to 2013 ...
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