French community grid for the evaluation of radiological artificial intelligence solutions (DRIM France Artificial Intelligence Initiative)

Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance

(2023) Thomas Dratsch et al.   RADIOLOGY

The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis

(2022) André Pfob et al.   EUROPEAN RADIOLOGY

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

(2022) Baptiste Vasey et al.   NATURE MEDICINE

Deep Learning Algorithms to Detect Fractures: Systematic Review Shows Promising Results but Many Limitations

(2022) Jérémie F. Cohen et al.   RADIOLOGY

Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis

(2022) Rachel Y. L. Kuo et al.   RADIOLOGY

Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program

(2022) Marthe Larsen et al.   RADIOLOGY

The future of radiology: What if artificial intelligence is really as good as predicted?

(2022) Steven P. Rowe et al.   Diagnostic and Interventional Imaging

Artificial intelligence in emergency radiology: A review of applications and possibilities

(2022) Benjamin D. Katzman et al.   Diagnostic and Interventional Imaging

Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow

(2022) Lisa Canoni-Meynet et al.   Diagnostic and Interventional Imaging

Does artificial intelligence surpass the radiologist?

(2022) Philippe Soyer et al.   Diagnostic and Interventional Imaging

Steps to avoid overuse and misuse of machine learning in clinical research

(2022) Victor Volovici et al.   NATURE MEDICINE

Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? – A systematic review

(2022) Olivier Rouvière et al.   Diagnostic and Interventional Imaging

Artificial intelligence in diagnostic and interventional radiology: Where are we now?

(2022) Tom Boeken et al.   Diagnostic and Interventional Imaging

Artificial intelligence: A critical review of applications for lung nodule and lung cancer

(2022) Constance de Margerie-Mellon et al.   Diagnostic and Interventional Imaging

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

(2021) Patrick Omoumi et al.   EUROPEAN RADIOLOGY

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

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

(2021) Karoline Freeman et al.   BMJ-British Medical Journal

Artificial intelligence for breast cancer detection in mammography: experience of use of the ScreenPoint Medical Transpara system in 310 Japanese women

(2020) Michiro Sasaki et al.   Breast Cancer

Concepts in U.S. Food and Drug Administration Regulation of Artificial Intelligence for Medical Imaging

(2019) Ajay Kohli et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

(2019) J. Raymond Geis et al.   CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES

Artificial intelligence and breast screening: French Radiology Community position paper

(2019) I. Thomassin-Naggara et al.   Diagnostic and Interventional Imaging

Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology

(2018) An Tang et al.   CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Variation of a test's sensitivity and specificity with disease prevalence

(2013) M. M. G. Leeflang et al.   CANADIAN MEDICAL ASSOCIATION JOURNAL