Machine learning for medical imaging: methodological failures and recommendations for the future.
NPJ Digit Med
; 5(1): 48, 2022 Apr 12.
Article
en En
| MEDLINE
| ID: mdl-35413988
Research in computer analysis of medical images bears many promises to improve patients' health. However, a number of systematic challenges are slowing down the progress of the field, from limitations of the data, such as biases, to research incentives, such as optimizing for publication. In this paper we review roadblocks to developing and assessing methods. Building our analysis on evidence from the literature and data challenges, we show that at every step, potential biases can creep in. On a positive note, we also discuss on-going efforts to counteract these problems. Finally we provide recommendations on how to further address these problems in the future.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
NPJ Digit Med
Año:
2022
Tipo del documento:
Article
País de afiliación:
Francia
Pais de publicación:
Reino Unido