Artificial Intelligence-Enabled Precision Education: A Novel Tool to Augment Radiology Residency Training.

Vinay Prabhu¹, Matthew G Young², Antonio Verdone², Malte Westerhoff³, Erin Alaia², Anna Chen², Luoyao Chen², Sumit Chopra², Ryan W Cummings², Jay Karajgikar², Jane P Ko², Renata La Rocca Vieira², Shailee Lala², Evan G Stein², Naomi A Strubel², Danielle Toussie², William Walter², Michael P Recht²

¹NYU Langone Health, Department of Radiology, New York, New York, USA. Electronic address: vinay.prabhu@nyulangone.org.

²NYU Langone Health, Department of Radiology, New York, New York, USA.

³Visage Imaging, Berlin, Germany.

PubMed DOI

Abstract

RATIONALE AND OBJECTIVES: Radiology residency often fails to account for individual differences between residents or provide sufficient exposure to diverse pathologies. We sought to evaluate whether artificial intelligence (AI)-enabled "Precision Education" can accurately identify and address individual radiology resident pathology exposure gaps through supplemental personalized teaching cases. M…

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