From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
Fairness of artificial intelligence in healthcare: review and recommendations
In this review, we address the issue of fairness in the clinical integration of artificial
intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, a …
intelligence (AI) in the medical field. As the clinical adoption of deep learning algorithms, 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; …
Artificial intelligence and machine learning in cancer imaging
An increasing array of tools is being developed using artificial intelligence (AI) and machine
learning (ML) for cancer imaging. The development of an optimal tool requires …
learning (ML) for cancer imaging. The development of an optimal tool requires …
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
Automation bias in mammography: the impact of artificial intelligence BI-RADS suggestions on reader performance
Background Automation bias (the propensity for humans to favor suggestions from
automated decision-making systems) is a known source of error in human-machine …
automated decision-making systems) is a known source of error in human-machine …
Prospective implementation of AI-assisted screen reading to improve early detection of breast cancer
AY Ng, CJG Oberije, É Ambrózay, E Szabó… - Nature Medicine, 2023 - nature.com
Artificial intelligence (AI) has the potential to improve breast cancer screening; however,
prospective evidence of the safe implementation of AI into real clinical practice is limited. A …
prospective evidence of the safe implementation of AI into real clinical practice is limited. A …
[HTML][HTML] Computer-aided breast cancer detection and classification in mammography: A comprehensive review
Cancer is the second cause of mortality worldwide and it has been identified as a perilous
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
disease. Breast cancer accounts for∼ 20% of all new cancer cases worldwide, making it a …
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …
International evaluation of an AI system for breast cancer screening
Screening mammography aims to identify breast cancer at earlier stages of the disease,
when treatment can be more successful. Despite the existence of screening programmes …
when treatment can be more successful. Despite the existence of screening programmes …