Bending the artificial intelligence curve for radiology: informatics tools from ACR and RSNA

M Kohli, T Alkasab, K Wang, ME Heilbrun… - Journal of the American …, 2019 - Elsevier
Artificial intelligence (AI) will reshape radiology over the coming years. The radiology
community has a strong history of embracing new technology for positive change, and AI is …

The artificial intelligence ecosystem for the radiological sciences: ideas to clinical practice

B Allen, K Dreyer - Journal of the American College of Radiology, 2018 - jacr.org
Although artificial intelligence (AI) has the potential to significantly augment and improve the
care radiologists and other radiology professionals are able to provide our patients, defining …

Artificial intelligence in radiology: summary of the AUR academic radiology and industry leaders roundtable

S Chan, J Bailey, PR Ros - Academic radiology, 2020 - Elsevier
The AUR Academic Radiology and Industry Leaders Roundtable was organized as an open
discussion between academic leaders of top US academic radiology departments and …

The ACR data science institute and AI advisory group: harnessing the power of artificial intelligence to improve patient care

GB McGinty, B Allen - Journal of the American College of Radiology, 2018 - jacr.org
In the ubiquitous media coverage of artificial intelligence (AI) and machine learning,
radiology has emerged as the poster child for professions that will potentially be rendered …

Artificial intelligence in imaging: the radiologist's role

DL Rubin - Journal of the American College of Radiology, 2019 - Elsevier
Rapid technological advancements in artificial intelligence (AI) methods have fueled
explosive growth in decision tools being marketed by a rapidly growing number of …

Workflow applications of artificial intelligence in radiology and an overview of available tools

N Kapoor, R Lacson, R Khorasani - Journal of the American College of …, 2020 - Elsevier
In the past decade, there has been tremendous interest in applying artificial intelligence (AI)
to improve the field of radiology. Currently, numerous AI applications are in development …

Current clinical applications of artificial intelligence in radiology and their best supporting evidence

A Tariq, S Purkayastha, GP Padmanaban… - Journal of the American …, 2020 - Elsevier
Purpose Despite tremendous gains from deep learning and the promise of artificial
intelligence (AI) in medicine to improve diagnosis and save costs, there exists a large …

The role of an artificial intelligence ecosystem in radiology

B Allen, R Gish, K Dreyer - Artificial intelligence in medical imaging …, 2019 - Springer
Moving artificial intelligence tools for diagnostic imaging into routine clinical practice will
require cooperation and collaboration between developers, physicians, regulators, and …

Artificial intelligence: a private practice perspective

N Kottler - Journal of the American College of Radiology, 2020 - Elsevier
Artificial intelligence (AI) is an exciting technology that can transform the practice of
radiology. However, radiology AI is still immature with limited adopters, dominated by …

Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts

MG Linguraru, S Bakas, M Aboian… - Radiology: Artificial …, 2024 - pubs.rsna.org
“Just Accepted” papers have undergone full peer review and have been accepted for
publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout …