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

Umber Shafique, Umar Shafique Chaudhry, Alexander J. Towbin

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)2329-2334
Number of pages6
JournalJournal of Digital Imaging
Issue number6
StatePublished - Dec 2023


  • AI
  • Pilots
  • Radiologists
  • Safety education

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications


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