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 ...

A new patient-specific algorithm uses two EEG channels and cepstrum analysis to predict epileptic seizures with high accuracy ...

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]), ...

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 ...

Early detection of left ventricular systolic dysfunction (LVSD) can identify patients at risk of developing heart failure and yet echocardiography is unavailable for many patients in resource-limited ...