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Artificial Intelligence in Radiology: A Leadership Survey.

Elizabeth S Burnside1, Thomas M Grist2, Michael R Lasarev3

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Radiology leaders are optimistic about artificial intelligence (AI) and plan to implement it to enhance quality, efficiency, and address burnout. Concerns regarding AI and job displacement are minimal among professionals.

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Area of Science:

  • Radiology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Previous surveys show varied views on AI in diagnostic radiology.
  • Academic radiology leaders' perspectives on AI implementation are crucial for strategic planning.

Purpose of the Study:

  • To survey academic radiology leaders regarding their views on artificial intelligence (AI).
  • To understand their plans for AI implementation within radiology departments.

Main Methods:

  • A web survey was distributed to members of the Society of Chairs of Academic Radiology Departments in October 2023.
  • The survey assessed optimism, target use cases, implementation plans, and workforce perceptions regarding AI.

Main Results:

  • The majority of chairs are optimistic about AI, with no significant difference in views between general AI and generative AI.
  • Planned AI implementation focuses on improving quality, efficiency, reducing burnout, healthcare costs, and equity.
  • AI is most likely to be targeted at postprocessing, interpretation workflow, and image acquisition stages.
  • Radiologists and technologists showed minimal concern about job displacement, while trainees expressed slightly less confidence.

Conclusions:

  • Academic radiology leaders are optimistic and prepared to integrate AI into their departments.
  • Key concerns identified include AI costs and necessary trade-offs.
  • Minimal apprehension exists regarding generative AI and workforce replacement by AI.