Groundbreaking joint statement issued on the development and use of AI tools in radiology

The American College of Radiology^® (ACR^®), working in close collaboration with four other radiology societies from around the world, have issued a joint statement 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, 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" 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."

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."

Christoph Wald, MD, PhD, MBA, FACR, Chair of ACR Commission on Informatics

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.