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 ...
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 ...
“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?
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 ...
You're currently following this author! Click to unsubscribe from email alerts. Feel like X's algorithm needs work? Elon Musk agrees. Musk isn't a fan of X's algorithm, and he's documenting the ...
Seattle is moving to shut down the practice of your grocery bill getting tweaked based on who you are and how you shop. The ...
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