The Need for Continuous Evaluation of Artificial Intelligence Prediction Algorithms-Reference-Cited by-同舟云学术

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The Need for Continuous Evaluation of Artificial Intelligence Prediction Algorithms

Published:2024-09-12 Issue:9 Volume:7 Page:e2433009
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Shah Nigam H.¹²³,Pfeffer Michael A.¹²,Ghassemi Marzyeh⁴⁵

Affiliation:

1. Technology and Digital Solutions, Stanford Healthcare, Palo Alto, California

2. Department of Medicine, Stanford School of Medicine, Stanford, California

3. Clinical Excellence Research Center, Stanford School of Medicine, Stanford, California

4. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge

5. Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2823641/shah_2024_ic_240186_1725563663.40379.pdf

Reference8 articles.

1. Assessment of adherence to reporting guidelines by commonly used clinical prediction models from a single vendor: a systematic review.;Lu;JAMA Netw Open,2022

2. A nationwide network of health AI assurance laboratories.;Shah;JAMA,2024

3. Development and preliminary testing of Health Equity Across the AI Lifecycle (HEAAL): a framework for healthcare delivery organizations to mitigate the risk of AI solutions worsening health inequities.;Kim;PLOS Digit Health,2024

4. External validation of AI models in health should be replaced with recurring local validation.;Youssef;Nat Med,2023

5. Availability of evidence for predictive machine learning algorithms in primary care: a systematic review.;Rakers;JAMA Netw Open,2024

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