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 …
mammography screening assessment could improve the effectiveness of breast cancer …
[HTML][HTML] Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective …
K Dembrower, E Wåhlin, Y Liu, M Salim… - The Lancet Digital …, 2020 - thelancet.com
Background We examined the potential change in cancer detection when using an artificial
intelligence (AI) cancer-detection software to triage certain screening examinations into a no …
intelligence (AI) cancer-detection software to triage certain screening examinations into a no …
Detection of masses and architectural distortions in digital breast tomosynthesis: a publicly available dataset of 5,060 patients and a deep learning model
Breast cancer screening is one of the most common radiological tasks with over 39 million
exams performed each year. While breast cancer screening has been one of the most …
exams performed each year. While breast cancer screening has been one of the most …
Prediagnostic image data, artificial intelligence, and pancreatic cancer: a tell-tale sign to early detection
Pancreatic cancer continues to be one of the deadliest malignancies and is the third leading
cause of cancer-related mortality in the United States. Based on several models, it is …
cause of cancer-related mortality in the United States. Based on several models, it is …
[PDF][PDF] Detecting asymmetric patterns and localizing cancers on mammograms
One in eight women develops invasive breast cancer in her lifetime. The frontline protection
against this disease is mammography. While computer-assisted diagnosis algorithms have …
against this disease is mammography. While computer-assisted diagnosis algorithms have …
Improving the ability of deep neural networks to use information from multiple views in breast cancer screening
In breast cancer screening, radiologists make the diagnosis based on images that are taken
from two angles. Inspired by this, we seek to improve the performance of deep neural …
from two angles. Inspired by this, we seek to improve the performance of deep neural …
[HTML][HTML] Artificial intelligence research and its contributions to the European Union's political governance: comparative study between member states
In the last six decades, many advances have been made in the field of artificial intelligence
(AI). Bearing in mind that AI technologies are influencing societies and political systems …
(AI). Bearing in mind that AI technologies are influencing societies and political systems …
The case of missed cancers: applying AI as a radiologist's safety net
We investigate the potential contribution of an AI system as a safety net application for
radiologists in breast cancer screening. As a safety net, the AI alerts on cases suspected to …
radiologists in breast cancer screening. As a safety net, the AI alerts on cases suspected to …
The path to implementation of artificial intelligence in screening mammography is not all that clear
C Mello-Thoms - JAMA network open, 2020 - jamanetwork.com
Breast cancer is the most common non–skin-related cancer among women and the leading
cause of cancer-related deaths among women worldwide. While mammography screening …
cause of cancer-related deaths among women worldwide. While mammography screening …
A review of AI and AI intelligence assessment
The design and application of AI systems have witnessed rapid development in various
fields over a period of three scores, accompanied by researcher's increasing interest in …
fields over a period of three scores, accompanied by researcher's increasing interest in …