Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy
Objective To examine the accuracy of artificial intelligence (AI) for the detection of breast
cancer in mammography screening practice. Design Systematic review of test accuracy …
cancer in mammography screening practice. Design Systematic review of test accuracy …
Artificial intelligence for clinical oncology
Clinical oncology is experiencing rapid growth in data that are collected to enhance cancer
care. With recent advances in the field of artificial intelligence (AI), there is now a …
care. With recent advances in the field of artificial intelligence (AI), there is now a …
Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical …
K Lång, V Josefsson, AM Larsson, S Larsson… - The Lancet …, 2023 - thelancet.com
Background Retrospective studies have shown promising results using artificial intelligence
(AI) to improve mammography screening accuracy and reduce screen-reading workload; …
(AI) to improve mammography screening accuracy and reduce screen-reading workload; …
[HTML][HTML] Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
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 …
has shown promise, but there are few prospective studies. Our aim was to conduct a …
Combining the strengths of radiologists and AI for breast cancer screening: a retrospective analysis
Background We propose a decision-referral approach for integrating artificial intelligence
(AI) into the breast-cancer screening pathway, whereby the algorithm makes predictions on …
(AI) into the breast-cancer screening pathway, whereby the algorithm makes predictions on …
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 …
reading mammograms could improve breast cancer screening efficiency. Purpose To …
Standalone AI for breast cancer detection at screening digital mammography and digital breast tomosynthesis: a systematic review and meta-analysis
Background There is considerable interest in the potential use of artificial intelligence (AI)
systems in mammographic screening. However, it is essential to critically evaluate the …
systems in mammographic screening. However, it is essential to critically evaluate the …
Deep learning in image-based breast and cervical cancer detection: a systematic review and meta-analysis
P Xue, J Wang, D Qin, H Yan, Y Qu, S Seery… - NPJ digital …, 2022 - nature.com
Accurate early detection of breast and cervical cancer is vital for treatment success. Here, we
conduct a meta-analysis to assess the diagnostic performance of deep learning (DL) …
conduct a meta-analysis to assess the diagnostic performance of deep learning (DL) …
Machine learning for workflow applications in screening mammography: systematic review and meta-analysis
Background Advances in computer processing and improvements in data availability have
led to the development of machine learning (ML) techniques for mammographic imaging …
led to the development of machine learning (ML) techniques for mammographic imaging …
A case-based interpretable deep learning model for classification of mass lesions in digital mammography
Interpretability in machine learning models is important in high-stakes decisions such as
whether to order a biopsy based on a mammographic exam. Mammography poses …
whether to order a biopsy based on a mammographic exam. Mammography poses …