To provide a comprehensive insight into the integration of artificial intelligence (AI) in radiology, five leading radiology societies have come together to publish a joint paper addressing the potential challenges and ethical issues associated with this new technology.
The joint statement was issued by the American College of Radiology (ACR), the Canadian Society of Radiologists (CAR), the European Society of Radiology (ESR), the Royal College of Radiologists of Australia and New Zealand (RANZCR), and the Radiological Society of North America (RSNA). It can be accessed through Insights into Imaging, ESR’s online gold open access journal.
The paper highlights the dual impact of AI, demonstrating both revolutionary advances in healthcare practice and the urgent need for critical evaluation to distinguish safe and potentially harmful AI tools. The key points highlight the necessity to strengthen monitoring of the utility and safety of AI, and advocate for collaboration between developers, clinicians, and regulators to address ethical issues and ensure that responsible AI is integrated into radiology practices. Furthermore, the statement offers valuable perspectives for stakeholders, delivering criteria for evaluating stability, safety, and independent functionality. This makes it an essential tool for the advancement and integration of AI in radiology.
Speaking about the paper, Professor Adrian Brady, lead author and Chair of the ESR Board, said: “This paper is critical to ensuring that radiologists are able to define, enhance and maintain the future of medical imaging. As AI becomes increasingly integrated into our field, it presents enormous potential and challenges. By addressing practical, ethical, and safety concerns, we aim to guide the development and implementation of AI tools in radiology. This article is not just a statement; This is a commitment to ensuring the responsible and effective use of AI to improve 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.”
AI has the potential to bring unprecedented disruption to radiology and could have both positive and negative consequences. The integration of AI in radiology could revolutionize healthcare practice by advancing the diagnosis, quantification, and management of multiple medical conditions. However, as the availability and functionality of AI tools in radiology continues to expand, there is a growing need to critically evaluate the usefulness of AI and to separate safe products from those that are potentially harmful or fundamentally unhelpful.
The joint paper from multiple societies outlines the practical challenges and ethical considerations related to integrating AI into radiology. Along with identifying key areas of concern that developers, regulators, and buyers of AI tools should address before their implementation in clinical practice, the statement also proposes approaches to monitor the tools for stability and safety in clinical use, and to evaluate their potential for autonomous operation.
“This statement can serve both as a guide for practicing radiologists on how to safely and effectively implement and use the AI available today, and as a roadmap for how developers and regulators can deliver improved AI for the future,” the statement’s co-authors said. John Mongan, MD, PhD, Radiologist, Vice Chair of Informatics in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco, and Chair of the RSNA Committee on Artificial Intelligence.
The authors tackle several critical issues related to integrating AI into the medical imaging workflow. They emphasize the need for heightened monitoring of the utility and safety of AI in clinical practice. Additionally, they underscore the importance of collaboration among developers, clinicians, and regulators to address ethical concerns and oversee AI performance.
If all steps from development to integration into healthcare are rigorously evaluated, AI can deliver on its promise to improve patient well-being. This multi-society statement provides guidance to developers, purchasers and users of AI in radiology to ensure that the practical issues surrounding AI at all stages from concept to long-term integration into healthcare are identified, understood and addressed, and that patient and societal safety and well-being are the primary drivers of all decision making.
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Post time: Apr-08-2024
