• Neuroimaging Clin. N. Am. · Nov 2020

    Review

    Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and Deployment.

    • Farhad Maleki, Nikesh Muthukrishnan, Katie Ovens, Caroline Reinhold, and Reza Forghani.
    • Augmented Intelligence & Precision Health Laboratory (AIPHL), Department of Radiology & Research Institute of the McGill University Health Centre, 5252 Boulevard de Maisonneuve Ouest, Montreal, Quebec H4A 3S5, Canada.
    • Neuroimaging Clin. N. Am. 2020 Nov 1; 30 (4): 433-445.

    AbstractThe deployment of machine learning (ML) models in the health care domain can increase the speed and accuracy of diagnosis and improve treatment planning and patient care. Translating academic research to applications that are deployable in clinical settings requires the ability to generalize and high reproducibility, which are contingent on a rigorous and sound methodology for the development and evaluation of ML models. This article describes the fundamental concepts and processes for ML model evaluation and highlights common workflows. It concludes with a discussion of the requirements for the deployment of ML models in clinical settings.Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

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