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 ...
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?
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 ...
Tool used to determine level of home support funding has frequently under-assessed people and left them without adequate care ...
Elon Musk isn't a fan of X's algorithm, so he's documenting the company's efforts to improve the tech that decides what you ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results