Artificial intelligence for precision education in radiology

Michael Tran Duong, Andreas M. Rauschecker, Jeffrey D. Rudie, Po Hao Chen, Tessa S. Cook, R. Nick Bryan, Suyash Mohan

Research output: Contribution to journalReview article

2 Citations (Scopus)

Abstract

In the era of personalized medicine, the emphasis of health care is shifting from populations to individuals. Artificial intelligence (AI) is capable of learning without explicit instruction and has emerging applications in medicine, particularly radiology. Whereas much attention has focused on teaching radiology trainees about AI, here our goal is to instead focus on how AI might be developed to better teach radiology trainees. While the idea of using AI to improve education is not new, the application of AI to medical and radiological education remains very limited. Based on the current educational foundation, we highlight an AI-integrated framework to augment radiology education and provide use case examples informed by our own institution's practice. The coming age of "AI-augmented radiology" may enable not only "precision medicine" but also what we describe as "precision medical education," where instruction is tailored to individual trainees based on their learning styles and needs.

Original languageEnglish (US)
Article number20190389
JournalBritish Journal of Radiology
Volume92
Issue number1103
DOIs
StatePublished - Jan 1 2019

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Artificial Intelligence
Radiology
Education
Precision Medicine
Medical Education
Learning
Teaching
Medicine
Delivery of Health Care
Population

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Duong, M. T., Rauschecker, A. M., Rudie, J. D., Chen, P. H., Cook, T. S., Bryan, R. N., & Mohan, S. (2019). Artificial intelligence for precision education in radiology. British Journal of Radiology, 92(1103), [20190389]. https://doi.org/10.1259/bjr.20190389

Artificial intelligence for precision education in radiology. / Duong, Michael Tran; Rauschecker, Andreas M.; Rudie, Jeffrey D.; Chen, Po Hao; Cook, Tessa S.; Bryan, R. Nick; Mohan, Suyash.

In: British Journal of Radiology, Vol. 92, No. 1103, 20190389, 01.01.2019.

Research output: Contribution to journalReview article

Duong, MT, Rauschecker, AM, Rudie, JD, Chen, PH, Cook, TS, Bryan, RN & Mohan, S 2019, 'Artificial intelligence for precision education in radiology', British Journal of Radiology, vol. 92, no. 1103, 20190389. https://doi.org/10.1259/bjr.20190389
Duong MT, Rauschecker AM, Rudie JD, Chen PH, Cook TS, Bryan RN et al. Artificial intelligence for precision education in radiology. British Journal of Radiology. 2019 Jan 1;92(1103). 20190389. https://doi.org/10.1259/bjr.20190389
Duong, Michael Tran ; Rauschecker, Andreas M. ; Rudie, Jeffrey D. ; Chen, Po Hao ; Cook, Tessa S. ; Bryan, R. Nick ; Mohan, Suyash. / Artificial intelligence for precision education in radiology. In: British Journal of Radiology. 2019 ; Vol. 92, No. 1103.
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