We investigated the use of equivalent relative utility (ERU) to evaluate the effectiveness of artificial intelligence (AI)-based rule-out algorithms designed to autonomously remove non-cancer patient images from radiologist review. Two evaluation metrics are explored: positive/negative predictive values and ERU. We applied both methods to a recent US study that concluded an improved specificity by retrospectively applying their AI algorithm to analyze a large mammography dataset. The ERU values are also calculated given the recall and cancer detection rates from a European mammography screening study. Without large prospective studies, ERU may provide insights in the effectiveness of a rule-out algorithm.
A Computer-Aided Triage and Notification (CADt) device uses artificial intelligence (AI) to prioritize radiological medical images and speed up reviews of diseased cases in time-sensitive conditions such as stroke, intercranial hemorrhage, and pneumothorax. However, questions remain on the quantitative assessment of the clinical effectiveness of CADt devices for speeding the review of patient images with time-sensitive conditions. This work presents an analytical method based on queueing theory to quantify the wait-time-savings and to study the impacts of CADt in various clinical settings. Theoretical results are consistent with clinical intuition and are verified by Monte Carlo simulations.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.