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 ...
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 ...
Provable In-Context Learning with In-Context Algorithm Selection Neural sequence models based on the transformer architecture ...
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 ...
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]), ...
“It falls to both the tech companies that built these systems and an engaged public to create technologies designed for social cohesion.” But what if we redesigned social media to bridge divides?
It was October 2021, and Imane, a 44-year-old mother of three, was still in pain from the abdominal surgery she had undergone a few weeks earlier. She certainly did not want to be where she was: ...
How a utility billing team migrated COBOL logic to Java one algorithm at a time using parallel runs, reversible cutovers, and ...
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