Work

Toward real‐world deployment of machine learning for health care: External validation, continual monitoring, and randomized clinical trials

Year: 2024

Type: article

Abstract: In this commentary, we elucidate three indispensable evaluation steps toward the real-world deployment of machine learning within the healthcare sector and demonstrate referable examples for diagnostic, therapeutic, and prognostic tasks. We encourage researchers to move beyond retrospective and within-sample validation, and step into the practical implementation at the bedside rather than leaving developed machine learning models in the dust of archived literature.

Source: Health care science

DOI: 10.1002/hcs2.114

Author: Han Yuan

Institution: Duke-NUS Medical School

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: