Machine learning models are often drowning in data, but the problem is not always the sheer volume of samples. Increasingly, ...
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 ...
Metaheuristic optimizers occupy a curious space in the computational sciences: they are easy to describe, easy to implement, ...
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 ...
Epatocellular carcinoma (HCC) remains one of the leading causes of cancer-related mortality worldwide, with prognosis closely ...
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]), ...
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 ...
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