<p>ClinValAI: A framework for developing cloud-based infrastructures for the external clinical validation of AI in medical imaging</p>

Ojas A Ramwala; Kathryn P Lowry; Daniel S Hippe; Matthew P N Unrath; Matthew J Nyflot; Sean D Mooney; Christoph I Lee

doi:10.7490/f1000research.1119880.1

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Ramwala OA, Lowry KP, Hippe DS et al. ClinValAI: A framework for developing cloud-based infrastructures for the external clinical validation of AI in medical imaging [version 1; not peer reviewed]. F1000Research 2024, 13:1113 (poster) (https://doi.org/10.7490/f1000research.1119880.1)

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ClinValAI: A framework for developing cloud-based infrastructures for the external clinical validation of AI in medical imaging

Ojas A Ramwala, Kathryn P Lowry, Daniel S Hippe, Matthew P N Unrath, Matthew J Nyflot, Sean D Mooney, Christoph I Lee¹

Published 02 Oct 2024 (https://doi.org/10.7490/f1000research.1119880.1)

Author Affiliations

¹ Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA

Copyright © 2024 Ramwala OA et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 02 Oct 2024

ClinValAI: A framework for developing cloud-based infrastructures for the external clinical validation of AI in medical imaging
[version 1; not peer reviewed]

Ojas A Ramwala, Kathryn P Lowry, Daniel S Hippe, Matthew P N Unrath, Matthew J Nyflot, Sean D Mooney, Christoph I Lee¹

Author Affiliations

¹ Department of Radiology, University of Washington School of Medicine, Seattle, Washington, USA

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Artificial Intelligence, Bias, Breast Cancer, Clinical Validation, Cloud Infrastructures, Generalizability, Medical Imaging

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