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An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes
OBJECTIVE: The increasing translation of artificial intelligence (AI)/machine learning (ML) models into clinical practice brings an increased risk of direct harm from modeling bias; however, bias remains incompletely measured in many medical AI applications. This article aims to provide a framework...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277645/ https://www.ncbi.nlm.nih.gov/pubmed/35511151 http://dx.doi.org/10.1093/jamia/ocac070 |