Should We Rely on AI to Help Avoid Bias in Patient Selection for Major Surgery?
AMA J Ethics
; 24(8): E773-780, 2022 08 01.
Article
em En
| MEDLINE
| ID: mdl-35976935
ABSTRACT
Many regard iatrogenic injuries as consequences of diagnosis or intervention actions. But inaction-not offering indicated major surgery-can also result in iatrogenic injury. This article explores some surgeons' overestimations of operative risk based on patients' race and socioeconomic status as unduly influential in their decisions about whether to perform major cancer or cardiac surgery on some patients with appropriate clinical indications. This article also considers artificial intelligence and machine learning-based clinical decision support systems that might offer more accurate, individualized risk assessment that could make patient selection processes more equitable, thereby mitigating racial and ethnic inequity in cancer and cardiac disease.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Sistemas de Apoio a Decisões Clínicas
/
Neoplasias
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article