Artificial intelligence, bias, and patients’ perspectives
By Topol et al. in Lancet
By training algorithms to predict labels related to clinical outcomes, rather than doctors’ judgments, we can start to push forward a new kind of clinical science. For example, by grounding patient reports of pain in objective radiographic features, we might develop a more comprehensive understanding of what causes pain. By not being doctor-centric and incorporating the patient’s perspective, machine learning has added potential for unravelling important mysteries of medicine.
Garry Winnogard at KBR
