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 ...

This is a test.[I want to increase impressions on X.]When you think about that, the first thing you probably wonder about is ...

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 ...

An open-source application unifies 14 pore-segmentation methods with colour and ageing analysis, revealing that identical ...

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 ...

Clinicians share a common goal of doing what is best for our patients, and this obligation extends to critically evaluating the tools we adopt into our practice. Clinical algorithms, which we define ...

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How social media algorithms play the role of a bond signifier ...