7 citations · 7 across the 5 of their papers we have counts for
5 papers
A theory of ROC analysis of rule-out and rule-in diagnostics with applications to mammography data
Michelle Mastrianni, Kwok Lung Fan, Yee Lam Elim Thompson +7
Multiple diagnostic tests are frequently used to determine the presence of a disease condition in patients. In this paper, we use bivariate copulas to examine the properties of rec…
Image Quality in the Era of Artificial Intelligence
Jana G. Delfino, Jason L. Granstedt, Frank W. Samuelson +2
Artificial intelligence (AI) is being deployed within radiology at a rapid pace. AI has proven an excellent tool for reconstructing and enhancing images that appear sharper, smooth…
A Quantitative Framework to Predict Wait-Time Impacts Due to AI-Triage Devices in a Multi-AI, Multi-Disease Workflow
Michelle Mastrianni, Rucha Deshpande, Frank W. Samuelson +1
The deployment of multiple AI-triage devices in radiology departments has grown rapidly, yet the cumulative impact on patient wait-times across different disease conditions remains…
Impact of AI-Triage on Radiologist Report Turnaround Time: Real-World Time-Savings and Insights from Model Predictions
Yee Lam Elim Thompson, Jonathan Fergus, Jonathan Chung +4
Objective: To quantify the impact of workflow parameters on time-savings in report turnaround time (TAT) due to an AI-triage device that prioritized pulmonary embolism (PE) in ches…
Use of Expected Utility (EU) to Evaluate Artificial Intelligence-Enabled Rule-Out Devices for Mammography Screening
Kwok Lung Fan, Yee Lam Elim Thompson, Weijie Chen +2
Background: An artificial intelligence (AI)-enabled rule-out device may autonomously remove patient images unlikely to have cancer from radiologist review. Many published studies e…