Research & Publications
Nepute, et al
May 8, 2025
Breast
Dao, et al
March 1, 2025
Diagnostic and Interventional Imaging
Conant, et al
January 15, 2025
Radiology
D.R. and R.L.G., et al
July 12, 2024
Radiology
Nguyen, et al
May 21, 2024
Radiology
Detection
Risk factors for interval breast cancer: insights from a decade of a mammography screening program
Subelack, et al
March 3, 2024
Breast Cancer Research
Eriksson, Graewingholt, et al.
December 6, 2023
The Lancet Regional Health – Europe
Eriksson, et al
June 19, 2023
Cancers
Arasu, et al
June 6, 2023
Radiology
Eriksson
May 11, 2023
Science Translational Medicine
Letter, H
March 31, 2023
Journal of Breast Imaging
Eriksson, et al
March 17, 2023
Journal of Clinical Oncology
Detection
Using an Artificial Intelligence System to Implement Limited Double Reading in a Single Reader Environment
Nishikawa
November 29, 2022
Gastounioti et al
September 30, 2022
Cancers
Graewingholt
January 12, 2021
Journal of Medical Screening
Graewingholt
January 5, 2021
Journal of Medical Screening
Eriksson
September 8, 2020
Radiology
Conant, et al
July 31, 2019
Radiology: Artificial Intelligence
James, et al
July 2, 2018
Clinical Radiology
Balleyguier, et al
October 25, 2017
European Journal of Radiology
Benedikt
October 24, 2017
American Journal of Roentgenology
Author(s)
Date
Journal
Parghi
April 6, 2024
ACC
Subelack
March 3, 2024
ECR
Graewingholt
March 3, 2024
ECR
Parghi
March 1, 2024
ECR
Parghi
November 28, 2023
RSNA
BAC
Evaluation of a deep learning based software tool to automatically detect and quantify BAC on DMEvaluation of a Deep-learning Based Software Tool to Automatically Detect and Quantify Breast Arterial Calcifications in Digital Mammograms.
Dao
November 23, 2023
RSNA
Letter
April 20, 2023
AARS
Zuckerman
April 16, 2023
AARS
Eriksson
March 17, 2023
SABCS
Risk
Long-term Performance of an Image-based Short-term Risk Model for Breast Cancer
Eriksson
March 17, 2023
RSNA
Gräewingholt
March 5, 2023
ECR 2023
Detection
Evaluating the Impact of Changes in AI-derived Case Scores over Time on DBT Screening Outcomes
Conant
December 1, 2022
RSNA
Detection
Tomosynthesis-driven AI-derived breast cancer scoring among a racially diverse cohort of women undergoing screening: potential for triage and precision cancer screening.
Conant
November 28, 2022
RSNA
Detection
Clinical Implications of Changes in Artificial Intelligence Software Case Scores from Prior to Current Digital Breast Tomosynthesis Screening Exam
Conant
November 28, 2022
RSNA
Detection
Real World Clinical Impact of Implementing Artificial Intelligence on Radiologists’ Performance in High Volume Mammography Screening
Gräewingholt
November 28, 2022
RSNA
Eriksson, et al
July 13, 2022
ECR
Detection
Implementing Selective Double Reading in a Single Reader Reading EnvironmentUsing an Artificial Intelligence System for Digital Breast Tomosynthesis.
Nishikawa
May 23, 2022
IWBI
Detection
Concurrent use of deep learning based artificial intelligence improves detection of breast cancer and reading time with digital breast tomosynthesis in women with dense and non-dense breasts.
Conant
May 19, 2022
SBI
Madden
May 18, 2022
SBI
Detection
Effect of artificial intelligence software on digital breast tomosynthesis screening cancer detection and abnormal interpretation rates among subspecialized breast radiologists: a real world experience
Letter, et al
December 1, 2021
RSNA
Ice, et al
November 30, 2021
RSNA
Eriksson, et al
September 8, 2020
ECR
Eriksson, et al
September 8, 2020
SABCS
Conant
July 15, 2020
ECR
Detection
The value of 2D-AI-based CAD for second or third reading tested on 17,910 screening mammograms
Heywang-Köbrunner, et al
July 15, 2020
ECR 2020
Detection
Improved breast cancer detection and reading time with digital breast tomosynthesis for breast subspecialists and general radiologists with concurrent use of artificial intelligence.
Conant
June 26, 2020
SIIM
Detection
Breast cancer detection with stand-alone artificial intelligence compared to radiologists in digital breast tomosynthesis.
Periaswamy, et al
June 26, 2020
SIIM
Conant
December 1, 2019
RSNA
Conant, et al
March 1, 2019
ECR
Conant, et al
November 26, 2018
RSNA
Detection
Evaluation of a CAD-enhanced 2D synthetic mammogram: comparison with a standard synthetic mammogram & FFDM
James
March 1, 2018
ECR
Benedikt, et al
March 1, 2017
ECR
Balleyguier, et al
December 1, 2016
RSNA
Detection
Evaluation of the contributionof a diagnostic support system (CAD) in tomosynthesis
Arfi-Rouche, et al
October 1, 2016
JFR
Arfi-Rouche, et al
September 23, 2016
EUSOBI
Detection
Feasibility of automated identification of low-likelihood of cancer in digital breast tomosynthesis screening exams.
Conant, et al
July 13, 2005
SBI
Detection
Correlation between BI-RADS assessment categories and artificial intelligence case scores.
Traill, et al
July 13, 2005
NCBC
Author(s)
Date
Meeting