Book | Chapter

Legal and Ethical Aspects of AI in Radiology (book chapter)

Why do many medical institutions struggle to use AI in their clinical practice? What are the essential steps for and before an effective implementation of AI in radiology workflow? How can AI implementation trigger enduring improvements in the clinical process? The book shows how change management is crucial to effectively introduce AI to medicine and radiology, transform healthcare delivery and ensure a smooth transition while maximising the benefits of AI and minimising potential disruptions.

Author

Bart Custers and Eduard Fosch-Villaronga

Date

19 December 2024

Bart Custers and Eduard Fosch-Villaronga have contributed a pivotal chapter to the volume AI Implementation in Radiology: Challenges and Opportunities in Clinical Practice.

Edited by Erik Ranschaert from the Department of Diagnostic Sciences at Ghent University, Mohammad H. Rezazade Mehrizi from the School of Business and Economics, Vrije Universiteit Amsterdam, Willem Grootjans from Department of Radiology, Leiden University Medical Center, and Tessa S. Cook from the Department of Radiology, Hospital of University of Pennsylvania, this interdisciplinary work gathers contributions from experts worldwide that describes change management in the context of implementing AI in medicine and radiology.

Their chapter Legal and Ethical Aspects of AI in Radiology explains that developing, implementing, and deploying AI in radiology requires more than focusing on technological and medical aspects like functionality, effectiveness, and efficiency. To ensure basic levels of user-friendliness, user acceptance, and public support, it is essential to consider legal and ethical aspects. Legal requirements are a conditio sine qua non: non-compliance with legal norms would constitute an illegal practice. Ethical norms may be softer, but may need consideration in cases with no legal requirements or when legal requirements are unclear or insufficiently detailed.