A Machine Learning Framework Reduces the Manual Workload for Systematic Reviews of the Diagnostic Performance of Prostate Magnetic Resonance Imaging

A Machine Learning Framework Reduces the Manual Workload for Systematic Reviews of the Diagnostic Performance of Prostate Magnetic Resonance Imaging

Prostate magnetic resonance imaging has become the imaging standard for prostate cancer in various clinical settings, with interpretation standardized according to the Prostate Imaging Reporting and Data System (PI-RADS). Each year, hundreds of scientific studies that report on the diagnostic perfor...

Full description

Bibliographic Details
Main Authors: Andrea Nedelcu, Benedict Oerther, Hannes Engel, August Sigle, Christine Schmucker, Ivo G. Schoots, Michel Eisenblätter, Matthias Benndorf
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:European Urology Open Science
Subjects:
Automation
Machine learning
Meta-analysis
Prostate magnetic resonance imaging
Systematic review
Prostate Imaging Reporting and Data System
Online Access:http://www.sciencedirect.com/science/article/pii/S2666168323003907

Internet

http://www.sciencedirect.com/science/article/pii/S2666168323003907

Similar Items