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Research & Publications

Eriksson
March 1, 2023
Journal of Clinical Oncology
Author(s)
Date
Journal
Detection

Implications of Change in an AI-Derived Case Score on Sequential Years of Digital Breast Tomosynthesis Screening

Zuckerman
April 20, 2023
AARS
Detection

Effect of Artificial Intelligence Software on Digital Breast Tomosynthesis Screening Cancer Detection, Abnormal Interpretation Rates, and Positive Predictive Value Among Subspecialized Breast Radiologists: Cumulative Real-World Evidence

Letter
April 20, 2023
AARS
Risk

Ways towards personalized breast screening

Eriksson
March 5, 2023
ECR
Detection

Real World Clinical Impact of Implementing Artificial Intelligence on Radiologists’ Performance in High Volume Mammography Screening

Gräewingholt
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

Using an Artificial Intelligence System to Implement Limited Double Reading in a Single Reader Environment

Nishikawa
November 28, 2022
RSNA
Risk

Long-term Performance of an Image-based Short-term Risk Model for Breast Cancer

Eriksson
November 28, 2022
RSNA
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
November 30, 2021
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, et al
November 30, 2021
RSNA
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

Evaluation of the contribution of a diagnostic support system (CAD) in tomosynthesis

Arfi-Rouche, et al
October 16, 2015
JFR
Detection

Correlation between BI-RADS assessment categories and artificial intelligence case scores.

Traill, et al
July 13, 2005
NCBC
Detection

Feasibility of automated identification of low-likelihood of cancer in digital breast tomosynthesis screening exams.

Conant, et al
July 13, 2005
SBI
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, et al
July 11, 2005
SBI
Detection

Evaluation of a CAD-enhanced 2D synthetic mammogram: comparison with a standard synthetic mammogram & FFDM

James, et al
July 10, 2005
ECR
Benedikt, et al
July 8, 2005
RSNA
Author(s)
Date
Meeting