Our recent paper in Science showed that an algorithm widely used for population health management has significant racial bias. The scale of impact is large, affecting health care decisions for at ...

A periodic feature by Cornerstone Research, in which our affiliated experts, senior advisors, and professionals, talk about their research and findings. We interview Professor Ben Handel of the ...

Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

Lawmakers are calling on two federal agencies and five of America’s health care giants to demonstrate how they are or plan to assess and address the potential bias that exists in algorithms used in ...

AI is increasingly finding its way into healthcare decisions, from diagnostics to treatment decisions to robotic surgery. As I’ve written about in this newsletter many times, AI is sweeping the ...

AI is riddled by bias, especially in healthcare. Just one well-known example is a study from 2019 that revealed racial bias in a clinical algorithm used by hospitals showing that Black patients had to ...

The most popular data are vital signs, which include such things as blood pressure, heart rate, respiration rate, temperature, oxygen saturation and so forth. Often these data are fed into the EHR ...

For more than a decade, journalists and researchers have been writing about the dangers of relying on algorithms to make weighty decisions: who gets locked up, who gets a job, who gets a loan — even ...

Tech companies acknowledge machine-learning algorithms can perpetuate discrimination and need improvement. By Zachary Small The artist Stephanie Dinkins has long been a pioneer in combining art and ...

This may sound like an intimidating technical topic, but I’m going to keep it simple. I went to public schools, so I’m going to leave the complicated math to MIT graduates.[2] Before I dive into the ...