Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.

• Type of Material: Article
• Authors: George Birdsong II, Emory University; Melissa Treviño, National Cancer Institute, Rockville, MD, USA.; George Birdsong, Emory University; Ann Carrigan, Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia.; Peter Choyke, Molecular Imaging Program, National Cancer Institute, Bethesda, MD, USA.; Trafton Drew, University of Utah; Miguel Eckstein, University of California, Santa Barbara; Anna Fernandez, National Cancer Institute, Rockville; Brandon D Gallas, and Software Reliability, US Food and Drug Administration, Silver Spring, MD, USA.; Maryellen Giger, University of Chicago, Chicago, IL, USA.; Stephen M Hewitt, Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA.; Todd S Horowitz, National Cancer Institute, Rockville.; Yuhong V Jiang, University of Minnesota, Minneapolis; Bonnie Kudrick, Transportation Security Administration, Springfield, VA, USA.; Susana Martinez-Conde, SUNY Downstate Health Sciences University, Brooklyn, NY, USA.; Stephen Mitroff, The George Washington University, Washington, DC, USA.; Linda Nebeling, National Cancer Institute, Rockville, MD, USA.; Joseph Saltz, Stony Brook University; Frank Samuelson, US Food and Drug Administration, Silver Spring; Steven E Seltzer, Brigham and Women's Hospital; Behrouz Shabestari, National Institute of Biomedical Imaging and Bioengineering, Rockville, MD, USA.; Lalitha Shankar, National Cancer Institute, Rockville, MD, USA.; Eliot Siegel, University of Maryland School of Medicine, Baltimore, MD, USA.; Mike Tilkin, American College of Radiology, Reston; Jennifer S Trueblood, Vanderbilt University, Nashville; Alison L Van Dyke, National Cancer Institute, Rockvill; Aradhana M Venkatesan, University of Texas MD Anderson Cancer Center; David Whitney, University of California, Berkeley; Jeremy M Wolfe, Harvard Medical School
• Language: English
• Date: 2022-01-05
• Publisher: Emory University Libraries
• Publication Version: Final Published Version
• Copyright Statement: Published by Oxford University Press 2021. This work is written by a US Government employee and is in the public domain in the US.
• License: Creative Commons Universal : Public Domain Dedication
• Final Published Version (URL): http://dx.doi.org/10.1093/jncics/pkab099
• Title of Journal or Parent Work: JNCI Cancer Spectr
• Volume: 6
• Issue: 1
• Grant/Funding Information: National Cancer Institute (NCI) staff had roles in the design of the Think Tank, contributed to the writing of the manuscript and the decision to submit the manuscript for publication. Moreover, the manuscript was reviewed and approved for submission through the manuscript clearance processes of both the NCI Division of Cancer Control and Population Sciences and the National Center for Complementary and Integrative Health.; Funds from the National Cancer Institute were used to convene experts for the Think Tank that informed the manuscript’s scientific scope.
• Keywords: Visual Perception; Artificial Intelligence; Humans; Cognition; Diagnostic Imaging; Radiology
• Research Categories: Health Sciences, Oncology; Health Sciences, Radiology

Abstract

Medical image interpretation is central to detecting, diagnosing, and staging cancer and many other disorders. At a time when medical imaging is being transformed by digital technologies and artificial intelligence, understanding the basic perceptual and cognitive processes underlying medical image interpretation is vital for increasing diagnosticians' accuracy and performance, improving patient outcomes, and reducing diagnostician burnout. Medical image perception remains substantially understudied. In September 2019, the National Cancer Institute convened a multidisciplinary panel of radiologists and pathologists together with researchers working in medical image perception and adjacent fields of cognition and perception for the "Cognition and Medical Image Perception Think Tank." The Think Tank's key objectives were to identify critical unsolved problems related to visual perception in pathology and radiology from the perspective of diagnosticians, discuss how these clinically relevant questions could be addressed through cognitive and perception research, identify barriers and solutions for transdisciplinary collaborations, define ways to elevate the profile of cognition and perception research within the medical image community, determine the greatest needs to advance medical image perception, and outline future goals and strategies to evaluate progress. The Think Tank emphasized diagnosticians' perspectives as the crucial starting point for medical image perception research, with diagnosticians describing their interpretation process and identifying perceptual and cognitive problems that arise. This article reports the deliberations of the Think Tank participants to address these objectives and highlight opportunities to expand research on medical image perception.