Are the Pilots Onboard? Equipping Radiologists for Clinical Implementation of AI

The incorporation of artificial intelligence into radiological clinical workflow is on the verge of being realized. To ensure that these tools are effective, measures must be taken to educate radiologists on tool performance and failure modes. Additionally, radiology systems should be designed to av...

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Bibliographic Details
Published inJournal of digital imaging Vol. 36; no. 6; pp. 2329 - 2334
Main Authors Shafique, Umber, Chaudhry, Umar Shafique, Towbin, Alexander J.
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.12.2023
Springer Nature B.V
Subjects
Airline industry
Algorithms
Artificial Intelligence
Automation
Aviation
Content creation
Digital imaging
Digital systems
Education
Failure modes
Humans
Imaging
Medicine
Medicine & Public Health
Patient safety
Pilots
Radiography
Radiologists
Radiology
Radiology - education
Workflow
Radiologists
AI
Pilots
Safety education
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Summary:The incorporation of artificial intelligence into radiological clinical workflow is on the verge of being realized. To ensure that these tools are effective, measures must be taken to educate radiologists on tool performance and failure modes. Additionally, radiology systems should be designed to avoid automation bias and the potential decline in radiologist performance. Designed solutions should cater to every level of expertise so that patient care can be enhanced and risks reduced. Ultimately, the radiology community must provide education so that radiologists can learn about algorithms, their inputs and outputs, and potential ways they may fail. This manuscript will present suggestions on how to train radiologists to use these new digital systems, how to detect AI errors, and how to maintain underlying diagnostic competency when the algorithm fails.
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ISSN:0897-1889
1618-727X
DOI:10.1007/s10278-023-00892-z