This is a multi-site, multi-group study that obtained two sets of ultrasound scans from all enrolled participants. Participants underwent limited ultrasound scanning by both cardiac sonographers and abdominal sonographers. Algorithm's performance on the view identification task and the object labeling task is computed.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
32
Participants underwent limited ultrasound scanning by both cardiac sonographers and abdominal sonographers. Algorithm's performance on the view identification task and the object labeling task is compared to majority opinion of 5 radiologists.
REVIVAL research institute, LLC
Sherman, Texas, United States
False discovery rate of the anatomical object labeling function on expert-obtained images
The objective of this study is to compare the average frame-level disagreement of object labeling by majority opinion of five expert reviewers. The frame-level disagreement is defined as False Discovery Rate as in (1) FDR = 1-Precision=FP/(FP+TP) (1) Where TP≡True Positive and FP≡False Positive. A True Positive is counted when the majority opinion of five expert reviewers agrees with the location of predicted labels in the image. A False Positive counted when majority opinion of five expert reviewers disagrees with the location of one or more predicted labels. False Discovery Rate (FDR) is measured for a particular image frame between predicted objects and the majority opinion of five reviewers. The frame-level FDR threshold for this prospective study is 20%. Therefore, for a successful outcome the frame-level FDR must be less than 20%.
Time frame: Post data acquisition (3 months)
False discovery rate of the anatomical view identification function on expert-obtained images
The objective of this study is to compare the average frame-level disagreement of object labeling by majority opinion of five expert reviewers. The frame-level disagreement is defined as False Discovery Rate as in (1) FDR = 1-Precision=FP/(FP+TP) (1) Where TP≡True Positive and FP≡False Positive. A True Positive is counted when the majority opinion of five expert reviewers agrees with the location of predicted labels in the image. A False Positive counted when majority opinion of five expert reviewers disagrees with the location of one or more predicted labels. False Discovery Rate (FDR) is measured for a particular image frame between predicted objects and the majority opinion of five reviewers. The frame-level FDR threshold for this prospective study is 20%. Therefore, for a successful outcome the frame-level FDR must be less than 20%.
Time frame: Post data acquisition (3 months)
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