Abstract
Artificial Intelligence in Medical Imaging—Learning From Past Mistakes in Mammography
Highlights
Artificial intelligence (AI) in medical imaging shows promise in improving health care efficiency and outcomes
A decade after Food & Drug Administration (FDA) clearance, a seminal article found that computer-aided detection (CAD) did not improve mammography accuracy after dissemination into routine clinical practice.[1]
Results of initial CAD reader studies were summarized in simple receiver operating characteristic (ROC) curve figures comparing results with CAD vs control
Summary
Artificial intelligence (AI) in medical imaging shows promise in improving health care efficiency and outcomes. A decade after FDA clearance, a seminal article found that CAD did not improve mammography accuracy after dissemination into routine clinical practice.[1] Results of initial CAD reader studies were summarized in simple receiver operating characteristic (ROC) curve figures comparing results with CAD vs control.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
