FDA-regulated AI algorithms: trends, strengths, and gaps of validation studies

S Ebrahimian, MK Kalra, S Agarwal, BC Bizzo… - Academic radiology, 2022 - Elsevier
Rationale and Objectives To assess key trends, strengths, and gaps in validation studies of
the Food and Drug Administration (FDA)-regulated imaging-based artificial …
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[引用][C] FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies

S Ebrahimian, MK Kalra, S Agarwal, BC Bizzo… - Academic …, 2022 - cir.nii.ac.jp
FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies | CiNii
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FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies

S Ebrahimian, MK Kalra, S Agarwal… - Academic …, 2022 - pubmed.ncbi.nlm.nih.gov
Rationale and objectives To assess key trends, strengths, and gaps in validation studies of
the Food and Drug Administration (FDA)-regulated imaging-based artificial …

FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies.

S Ebrahimian, MK Kalra, S Agarwal, BC Bizzo… - Academic …, 2021 - europepmc.org
Rationale and objectives To assess key trends, strengths, and gaps in validation studies of
the Food and Drug Administration (FDA)-regulated imaging-based artificial …

FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies

S Ebrahimian, MK Kalra, S Agarwal… - Academic …, 2022 - academicradiology.org
Rationale and Objectives To assess key trends, strengths, and gaps in validation studies of
the Food and Drug Administration (FDA)-regulated imaging-based artificial …