Evidence
Mammography AI in 147 Clinics Results in Increased Cancer Detection Rate
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Leeann Louis, PhD
Leeann Louis, PhD
AI software leverages information in DBT to help identify cancers with limited or no visibility on FFDM
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Brittaney Everitt, MS
Brittaney Everitt, MS
An AI-driven peer review quality-assurance process to improve cancer detection: Real world experience in a community practice
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Mireille Aujero, MD
Mireille Aujero, MD
Categorical artificial intelligence helps general radiologists and breast imaging specialists improve cancer detection performance on DBT mammograms for women of all races
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Jiye G. Kim, PhD
Jiye G. Kim, PhD
Radiologists using categorical AI for screening mammography improve more than double reading alone
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Hyunkwang Lee, PhD
Hyunkwang Lee, PhD
Real world evidence supports robustness of AI categories for screening mammography
SBI-ACR BREAST IMAGING SYMPOSIUM 2023
Bryan Haslam, PhD
Bryan Haslam, PhD