Theoretical insights and practical guidance for effective AI implementation


In the rapidly advancing field of AI in radiology, where implementation remains a challenge, two recent publications are worthy of note, as they provide a rich mix of theoretical insights and practical guidance for effective integration.

  • Developing, Purchasing, Implementing, and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR & RSNA
    This comprehensive statement, collaboratively issued by Radiology Societies from the USA, Canada, Europe, Australia, and New Zealand, delves into the practical challenges and ethical considerations of integrating AI into radiology. It meticulously discusses the critical aspects that developers, regulatory authorities, and AI technology purchasers must consider prior to clinical deployment. The paper also offers strategies for monitoring the reliability, safety, and suitability of these AI tools for potential autonomous use in clinical settings. An essential read for professionals in the field!
  • Link to paper

  • A Holistic Approach to Implementing Artificial Intelligence in Radiology
    This paper presents a compelling case study from an academic hospital in the Netherlands, advocating for a comprehensive strategy in implementing AI in radiology. Supported by 43 days of work observations, 30 meeting observations, 18 interviews and 41 relevant documents, it examines the technological, workflow, and organizational dimensions for the effective integration of AI into clinical practice. This case study is a significant resource for understanding and navigating the complexities of AI adoption in healthcare environments.
  • Link to paper