Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations

M Larsen, CF Aglen, SR Hoff, H Lund-Hanssen… - European …, 2022 - Springer
Objectives Artificial intelligence (AI) has shown promising results when used on
retrospective data from mammographic screening. However, few studies have explored the …

Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases

HW Koch, M Larsen, H Bartsch, KD Kurz, S Hofvind - European Radiology, 2023 - Springer
Objectives To compare results of selected performance measures in mammographic
screening for an artificial intelligence (AI) system versus independent double reading by …

Artificial intelligence evaluation of 122 969 mammography examinations from a population-based screening program

M Larsen, CF Aglen, CI Lee, SR Hoff, H Lund-Hanssen… - Radiology, 2022 - pubs.rsna.org
Background Artificial intelligence (AI) has shown promising results for cancer detection with
mammographic screening. However, evidence related to the use of AI in real screening …

[HTML][HTML] Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study

K Dembrower, A Crippa, E Colón, M Eklund… - The Lancet Digital …, 2023 - thelancet.com
Background Artificial intelligence (AI) as an independent reader of screening mammograms
has shown promise, but there are few prospective studies. Our aim was to conduct a …

Identifying normal mammograms in a large screening population using artificial intelligence

K Lång, M Dustler, V Dahlblom, A Åkesson… - European …, 2021 - Springer
Objectives To evaluate the potential of artificial intelligence (AI) to identify normal
mammograms in a screening population. Methods In this retrospective study, 9581 double …

An artificial intelligence–based mammography screening protocol for breast cancer: outcome and radiologist workload

AD Lauritzen, A Rodríguez-Ruiz… - Radiology, 2022 - pubs.rsna.org
Background Developments in artificial intelligence (AI) systems to assist radiologists in
reading mammograms could improve breast cancer screening efficiency. Purpose To …

External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms

M Salim, E Wåhlin, K Dembrower, E Azavedo… - JAMA …, 2020 - jamanetwork.com
Importance A computer algorithm that performs at or above the level of radiologists in
mammography screening assessment could improve the effectiveness of breast cancer …

Impact of different mammography systems on artificial intelligence performance in breast cancer screening

CF de Vries, SJ Colosimo, RT Staff… - Radiology: Artificial …, 2023 - pubs.rsna.org
Artificial intelligence (AI) tools may assist breast screening mammography programs, but
limited evidence supports their generalizability to new settings. This retrospective study used …

Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study

A Rodriguez-Ruiz, K Lång, A Gubern-Merida… - European …, 2019 - Springer
Purpose To study the feasibility of automatically identifying normal digital mammography
(DM) exams with artificial intelligence (AI) to reduce the breast cancer screening reading …

Early indicators of the impact of using AI in mammography screening for breast cancer

AD Lauritzen, M Lillholm, E Lynge, M Nielsen… - Radiology, 2024 - pubs.rsna.org
Background Retrospective studies have suggested that using artificial intelligence (AI) may
decrease the workload of radiologists while preserving mammography screening …