![AI (Artificial Intelligence) with a computer and numbers and a robot head in the corner](https://phgkb.cdc.gov/GAPPKBImage/images/2018-03_AI.jpg)
Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist
B Norgeot et al, Nature Medicine
B Norgeot et al, Nature Medicine
We present the MI-CLAIM checklist, a tool intended to improve transparent reporting of AI algorithms in medicine. MI-CLAIM has two purposes: first, to enable a direct assessment of clinical impact, including fairness and bias; and second, to allow rapid replication of the technical design process of any legitimate clinical AI study.
Those designing healthcare algorithms must become actively anti-racist
K Owens et al, Nature Medicine, September 9, 2020
K Owens et al, Nature Medicine, September 9, 2020
Many widely used health algorithms have been shown to encode and reinforce racial health inequities. Because automated systems are becoming so crucial to access to health, researchers in the field of artificial intelligence must become actively anti-racist. Here we list some concrete steps to enable anti-racist practices in medical research and practice.
No hay comentarios:
Publicar un comentario