Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules

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Authors

Caroline M. Godfrey · Vanderbilt University Medical Center

Ashley A. Leech · Vanderbilt University

Kevin C. McGann · Vanderbilt University Medical Center

Jinyi Zhu · Vanderbilt University

Hannah N. Marmor · Vanderbilt University Medical Center

Sophia M. Pena · Vanderbilt University Medical Center

L. Pickup

Abstract

In clinical settings with a pre-test probability of malignancy exceeding 5%, AI-supported IPN risk stratification is cost-effective compared to clinician assessment alone.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Lung Cancer Diagnosis and Treatment AI in cancer detection

Publication Details

Published in: PLoS ONE

Volume 21, Issue 3, pp. e0343492-e0343492

DOI: 10.1371/journal.pone.0343492

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Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules

Authors

Abstract

Topics & Keywords

Publication Details