Skip to main content

Unfortunately we don't fully support your browser. If you have the option to, please upgrade to a newer version or use Mozilla Firefox, Microsoft Edge, Google Chrome, or Safari 14 or newer. If you are unable to, and need support, please send us your feedback.

We'd appreciate your feedback on this new experience.Tell us what you think(opens in new tab/window)

Elsevier
Publish with us
Press release

American College of Radiology Releases Joint Statement on the Use of AI Tools in Radiology

Philadelphia | January 25, 2024

Leading radiology societies unite to address practical, ethical, and safety considerations surrounding the implementation of AI in medical imaging

The American College of Radiology(opens in new tab/window)® (ACR®), working in close collaboration with four other radiology societies from around the world, have issued a joint statement(opens in new tab/window) on the development and use of artificial intelligence (AI) tools in radiology. This groundbreaking joint statement is openly available in ACR’s Journal of the American College of Radiology(opens in new tab/window), published by Elsevier. It explores the potential challenges and ethical and safety concerns related to integrating this new technology into radiology practice.

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA(opens in new tab/window)”was drafted by representatives of the American College of Radiology, the Canadian Association of Radiologists, the European Society of Radiology, the Royal Australian and New Zealand College of Radiologists, and the Radiological Society of North America.

Bibb Allen, MD, FACR, ACR Data Science Institute Chief Medical Officer, emphasized, “Continuous AI monitoring that captures model performance, examination parameters, and patient demographics in data registries offers significant advantages, including being able to identify the causes of diminished performance in real time and the ability to provide developers with aggregated data for model improvement.”

Christoph Wald, MD, PhD, MBA, FACR, Chair of ACR Commission on Informatics, reiterated, “AI in radiology should ultimately increase patient well-being, minimize harm, respect human rights, and ensure that the benefits and harms are distributed among stakeholders in an equitable way. Since AI heavily relies on data, ethical issues relating to the acquisition, use, storage, and disposal of data are central to patient safety and the appropriate use of AI.”

AI carries the potential for unprecedented disruption in radiology with the possibility of both positive and negative consequences.The integration of AI in radiology could revolutionize healthcare practices by advancing diagnosis, quantification, and management of multiple medical conditions. However, with the expanding availability and capabilities of AI tools in radiology comes an increasing need to critically evaluate claims for AI’s utility and to differentiate safe product offerings from potentially harmful or fundamentally unhelpful ones.

Lead author Prof. Adrian P. Brady, MB BCh, FFRRCSI, FRCR, FRCPC, University College Cork, Ireland, former President and current Chair of the Board of Directors of the European Society of Radiology (ESR) explained, "This paper is critical in ensuring that radiologists can define, enhance, and safeguard the future of medical imaging. As AI becomes increasingly integrated into our field, it brings both tremendous potential and challenges. By addressing practical issues, ethical concerns, and safety considerations, we aim to guide the development and implementation of AI tools in radiology. This paper is not just a statement; it is a commitment to ensuring the responsible and effective use of AI for the betterment of patient care. It sets the stage for a new era in radiology, where innovation is balanced with ethical considerations, and patient outcomes remain our top priority."

Key points emphasize the necessity for increased monitoring of AI utility and safety, advocating for collaboration among developers, clinicians, purchasers, and regulators to navigate ethical concerns and ensure responsible AI integration into radiological practice. In addition, the statement provides valuable insights for stakeholders, offering guidelines on evaluating stability, safety, and autonomous functionality, making it an indispensable resource for the development and implementation of AI in radiology.

The authors stress that AI can fulfill its promise to advance patient well‑being if all steps from development to integration in healthcare are rigorously evaluated. This multi-society statement provides guidance to ensure that the practical issues that surround all stages of AI from conception to long-term integration in healthcare are clear, understood, and addressed, and that patient and societal safety and well-being are the primary drivers of all decisions.

Notes for editors

The article is "Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA,” by Adrian P. Brady, Bibb Allen, Jaron Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden‑Rayner, Daniel Pinto dos Santos, An Tang, Christoph Wald, and John Slavotinek (https://doi.org/10.1016/j.jacr.2023.12.005(opens in new tab/window)). It appears online in the Journal of the American College of Radiology, published by Elsevier.

It is openly available at https://www.jacr.org/article/S1546-1440(23)01020-7/fulltext(opens in new tab/window).

The full text of the article is also available to credentialed journalists upon request; contact Eileen Leahy at +1 732 406 1313 or[email protected](opens in new tab/window). Journalists wishing to interview the authors should contact the American College of Radiology Media Team at [email protected](opens in new tab/window).

This article is simultaneously published in the Journal of the American College of Radiology (DOI 10.1016/j.jacr.2023.12.005); Canadian Association of Radiologists Journal (DOI 10.1177/08465371231222229), Insights into Imaging (DOI 10.1186/s13244-023-01541-3), Journal of Medical Imaging and Radiation Oncology (DOI 10.1111/1754-9485.13612), and Radiology: Artificial Intelligence (DOI 10.1148/ryai.230513).

For the American College of Radiology (ACR): Bibb Allen, Christoph Wald, Canadian Association of Radiologists (CAR): Jaron Chong, An Tang, European Society of Radiology (ESR): Adrian P. Brady, Elmar Kotter, Daniel Pinto dos Santos, Royal Australian and New Zealand College of Radiologists (RANZCR): Lauren Oakden-Rayner, John Slavotinek, Radiological Society of North America: Nina Kottler, John Mongan.

Disclaimer: No peer-review was carried out in the publishing journals, as the governing bodies of the societies represented by the author group (ACR, CAR, ESR, RANZCR, RSNA) carried out formal peer-review prior to the formal endorsement of this article.

About the Journal of the American College of Radiology

The official journal of the American College of Radiology(opens in new tab/window), JACR(opens in new tab/window)informs its readers of timely, pertinent, and important topics affecting the practice of diagnostic radiologists, interventional radiologists, medical physicists, and radiation oncologists. The journal’s goals are to improve patient care, support the practice of radiology and imaging, and move the science forward in health services research and policy, clinical practice management, data science, training and education, and leadership. www.jacr.org(opens in new tab/window)

About Elsevier

As a global leader in information and analytics, Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. In everything we publish, we uphold the highest standards of quality and integrity. We bring that same rigor to our information analytics solutions for researchers, academic leaders, funders, R&D-intensive corporations, doctors, and nurses.

Elsevier employs 9,000 people worldwide, including over 2,500 technologists. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress. Digital solutions such as ScienceDirect, Scopus, SciVal, ClinicalKey and Sherpath support strategic research management, R&D performance, clinical decision support, medical education, and nursing education. Researchers and healthcare professionals rely on over 2,900 digitized journals, including The Lancet(opens in new tab/window) and Cell(opens in new tab/window); 46,000+ eBook titles; and iconic reference works, such as Gray's Anatomy. With the Elsevier Foundation(opens in new tab/window) and our external Inclusion & Diversity Advisory Board, we work in partnership with diverse stakeholders to advance inclusion and diversity in science, research and healthcare in developing countries and around the world. 

Elsevier is part of  RELX(opens in new tab/window), a global provider of information-based analytics and decision tools for professional and business customers.

Contact

EL

Eileen Leahy

Elsevier

+1 732 238 2628

E-mail Eileen Leahy

ACOR

American College of Radiology

E-mail American College of Radiology