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 ...
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 ...
Building a good mathematics test is a surprisingly hard optimization problem. Every item in a test bank carries its own content domain, difficulty level, cognitive demand, and point value, and a ...
This is a test.[I want to increase impressions on X.]When you think about that, the first thing you probably wonder about is ...
A new perspective in the Journal of General Internal Medicine argues that clinicians' discretionary use of AI can reproduce ...
The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...
Epatocellular carcinoma (HCC) remains one of the leading causes of cancer-related mortality worldwide, with prognosis closely ...
Many health systems depend on prediction algorithms to identify and help patients with various health conditions. Some of these algorithms exhibit significant racial bias, resulting in millions of ...
Facebook is the latest social media platform to give users greater control over the algorithm that determines what appears in ...
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