The Diagnostic Cockpit of the Future

Mitchell Schnall; Renee Cruea; Steven E Seltzer

doi:10.1016/j.jacr.2023.06.013

The Diagnostic Cockpit of the Future

J Am Coll Radiol. 2023 Sep;20(9):870-874. doi: 10.1016/j.jacr.2023.06.013. Epub 2023 Jul 15.

Authors

Mitchell Schnall¹, Renee Cruea², Steven E Seltzer³

Affiliations

¹ Chair of the Department of Radiology, University of Pennsylvania Health System, and Pendergrass Professor of Radiology at the University of Pennsylvania School of Medicine, Philadelphia Pennsylvania; Past President of the Academy for Radiology & Biomedical Imaging Research, Washington DC. Electronic address: Mitchell.Schnall@uphs.upenn.edu.
² Executive Director of the Academy for Radiology and Biomedical Imaging Research, Washington, DC.
³ Chair Emeritus of the Department of Radiology, Brigham and Women's Hospital, and Philip Cook Professor of Radiology Emeritus at Harvard Medical School, Boston, Massachusetts; Past President of the Academy for Radiology and Biomedical Imaging Research, Washington DC.

PMID: 37459906
DOI: 10.1016/j.jacr.2023.06.013

Abstract

The integration of digital data from imaging, pathology, genomics, and other fields creates an opportunity to produce information-rich diagnoses, especially for complex patients. Technology exists today to create a "diagnostic cockpit" that can accept inputs from multiple sources, analyze them using artificial intelligence and other quantitative tools, and produce a precision diagnosis. Although barriers to creation and dissemination of such a cockpit exist, the metaphor provides a glimpse into the diagnostic processes of the future.

Keywords: Artificial intelligence; diagnostic cockpit; precision diagnosis.

Publication types

Review