USA – How to reduce bias, improve fairness in medical devices

Lessons learned in the artificial intelligence community about addressing bias could also be applied to medical devices, according to a recent perspective in the journal Science.

“Initiatives to promote fairness are rapidly growing in a range of technical disciplines, but this growth is not rapid enough for medical engineering. Although computer science companies terminate lucrative but biased facial recognition systems, biased medical devices continue to be sold as commercial products,” Achuta Kadambi, PhD, of the Department of Electrical and Computer Engineering, University of California, Los Angeles (UCLA), wrote in the perspective.

Bias in medical devices needs to be addressed now, Kadambi said, and starts with examining where biases occur and how they can be mitigated. He outlined three main types of biases in medical devices: physical bias, computational bias, and interpretation bias…