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 ...
Usha Lee McFarling is a former STAT reporter. Katie covers the impact of health technology on patients, clinicians, and businesses. Her stories explore the price tag of clinical AI, digital health at ...
A new patient-specific algorithm uses two EEG channels and cepstrum analysis to predict epileptic seizures with high accuracy ...
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]), ...
Algorithm powering the For You feed on X. Contribute to xai-org/x-algorithm development by creating an account on GitHub.
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 ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results