Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach

(2021) William Lotter et al.   NATURE MEDICINE

AI-based Strategies to Reduce Workload in Breast Cancer Screening with Mammography and Tomosynthesis: A Retrospective Evaluation

(2021) José Luis Raya-Povedano et al.   RADIOLOGY

International evaluation of an AI system for breast cancer screening

(2020) Scott Mayer McKinney et al.   NATURE

AI for breast-cancer screening

(2020) Hannah Stower   NATURE MEDICINE

Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients

(2020) Peter Heydon et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

Identifying normal mammograms in a large screening population using artificial intelligence

(2020) Kristina Lång et al.   EUROPEAN RADIOLOGY

External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms

(2020) Mattie Salim et al.   JAMA Oncology

Incidence, Characteristics, and Outcomes of Interval Breast Cancers Compared With Screening-Detected Breast Cancers

(2020) Saroj Niraula et al.   JAMA Network Open

External validation of prognostic models: what, why, how, when and where?

(2020) Chava L Ramspek et al.   Clinical Kidney Journal

Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential in breast screening practice

(2019) Nehmat Houssami et al.   Expert Review of Medical Devices

Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography

(2019) Alyssa T. Watanabe et al.   JOURNAL OF DIGITAL IMAGING

Artificial intelligence for diabetic retinopathy screening: a review

(2019) Andrzej Grzybowski et al.   EYE

The ethical, legal and social implications of using artificial intelligence systems in breast cancer care

(2019) Stacy M. Carter et al.   BREAST

Excluding non-English publications from evidence-syntheses did not change conclusions: a meta-epidemiological study

(2019) B. Nussbaumer-Streit et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Deep Learning in Radiology

(2018) Morgan P. McBee et al.   ACADEMIC RADIOLOGY

Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies

(2018) Matthew D. F. McInnes et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction

(2018) Seong Ho Park et al.   RADIOLOGY

Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System

(2018) Alejandro Rodríguez-Ruiz et al.   RADIOLOGY

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists

(2018) Alejandro Rodriguez-Ruiz et al.   JNCI-Journal of the National Cancer Institute

Deep learning ensembles for melanoma recognition in dermoscopy images

(2017) N. C. F. Codella et al.   IBM JOURNAL OF RESEARCH AND DEVELOPMENT

Automated Diabetic Retinopathy Image Assessment Software

(2017) Adnan Tufail et al.   OPHTHALMOLOGY

Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients

(2017) Bahareh Pourbabaee et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 2015

(2017) et al.   JAMA Oncology

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

(2016) Korsuk Sirinukunwattana et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Can we open the black box of AI?

(2016) Davide Castelvecchi   NATURE

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

The End of Radiology? Three Threats to the Future Practice of Radiology

(2016) Katie Chockley et al.   Journal of the American College of Radiology

The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

(2015) Robert J. McDonald et al.   ACADEMIC RADIOLOGY

Breast screening using 2D-mammography or integrating digital breast tomosynthesis (3D-mammography) for single-reading or double-reading – Evidence to guide future screening strategies

(2014) Nehmat Houssami et al.   EUROPEAN JOURNAL OF CANCER

The descriptive epidemiology of female breast cancer: An international comparison of screening, incidence, survival and mortality

(2012) Danny R. Youlden et al.   Cancer Epidemiology

Standalone computer-aided detection compared to radiologists’ performance for the detection of mammographic masses

(2012) Rianne Hupse et al.   EUROPEAN RADIOLOGY

THE EFFECT OF ENGLISH-LANGUAGE RESTRICTION ON SYSTEMATIC REVIEW-BASED META-ANALYSES: A SYSTEMATIC REVIEW OF EMPIRICAL STUDIES

(2012) Andra Morrison et al.   INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE

Interval cancers in the NHS breast cancer screening programme in England, Wales and Northern Ireland

(2011) R L Bennett et al.   BRITISH JOURNAL OF CANCER

The “Laboratory” Effect: Comparing Radiologists' Performance and Variability during Prospective Clinical and Laboratory Mammography Interpretations

(2008) David Gur et al.   RADIOLOGY