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AI implementation: Radiologists' perspectives on AI-enabled opportunistic CT screening.

Adam E M Eltorai1, Dominick J Parris2, Mary Jo Tarrant2

  • 1Department of Radiology, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, United States of America.

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Summary
This summary is machine-generated.

Radiologists view artificial intelligence (AI) positively but have concerns about accuracy and implementation. Increasing familiarity with AI-enabled opportunistic screening (OS) and developing society guidelines are key for AI adoption in radiology.

Keywords:
AIImplementationOpportunistic CT screening

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Area of Science:

  • Radiology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) adoption in healthcare hinges on end-user perceived value.
  • AI-enabled opportunistic CT screening (OS) identifies incidental imaging risk markers for preventative health.
  • Understanding radiologists' perspectives is crucial for successful AI implementation.

Purpose of the Study:

  • To assess radiologists' familiarity with and views on AI applications.
  • To evaluate radiologists' knowledge of and opinions on opportunistic CT screening (OS).
  • To identify inducements and impediments to AI and OS adoption in radiology practice.

Main Methods:

  • An online survey was distributed to 7500 practicing radiologists.
  • Data on AI familiarity, views, OS knowledge, and adoption factors were collected and tabulated.
  • 211 radiologists completed the survey, providing demographic and opinion data.

Main Results:

  • 68% of respondents use AI, but 52% are only somewhat familiar with it.
  • 70% hold positive views on AI, yet only 46% find its accuracy meets expectations.
  • 57% are unfamiliar with OS; patient perceptions are a key inducement, while costs are major impediments.
  • Radiologists believe OS can assess osteoporosis, fatty liver, and cardiovascular disease risk.
  • Most respondents emphasize the need for radiologist oversight and separate reporting sections for OS findings.
  • Society guidelines and recommendations are seen as crucial for OS implementation.

Conclusions:

  • Radiologists' perspectives offer practical insights into AI and OS implementation.
  • Enhancing end-user familiarity with AI applications is essential for adoption.
  • Developing clear society guidelines and recommendations is a prerequisite for AI adoption in radiology.