Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration

Author:

Treviño Melissa12,Birdsong George3,Carrigan Ann4ORCID,Choyke Peter5ORCID,Drew Trafton6,Eckstein Miguel7,Fernandez Anna89,Gallas Brandon D10ORCID,Giger Maryellen11ORCID,Hewitt Stephen M12,Horowitz Todd S1ORCID,Jiang Yuhong V13,Kudrick Bonnie14,Martinez-Conde Susana15ORCID,Mitroff Stephen16ORCID,Nebeling Linda1,Saltz Joseph17ORCID,Samuelson Frank10ORCID,Seltzer Steven E1819ORCID,Shabestari Behrouz20,Shankar Lalitha21,Siegel Eliot22,Tilkin Mike23,Trueblood Jennifer S24ORCID,Van Dyke Alison L8,Venkatesan Aradhana M25,Whitney David26ORCID,Wolfe Jeremy M192728ORCID

Affiliation:

1. Behavioral Research Program, National Cancer Institute, Rockville, MD, USA

2. Clinical Research in Complementary and Integrative Health Branch, National Center for Complementary and Integrative Health, Rockville, MD, USA

3. Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA

4. Australian Institute of Health Innovation, Macquarie University, Sydney, NSW, Australia

5. Molecular Imaging Program, National Cancer Institute, Bethesda, MD, USA

6. Department of Psychology, University of Utah, Salt Lake City, UT, USA

7. Department of Psychological & Brain Science, University of California, Santa Barbara, CA, USA

8. Surveillance Research Program, National Cancer Institute, Rockville, MD, USA

9. Booz Allen Hamilton, McLean, VA, USA

10. Division of Imaging Diagnostics, and Software Reliability, US Food and Drug Administration, Silver Spring, MD, USA

11. Department of Radiology, University of Chicago, Chicago, IL, USA

12. Laboratory of Pathology, National Cancer Institute, Bethesda, MD, USA

13. Department of Psychology, University of Minnesota, Minneapolis, MN, USA

14. Transportation Security Administration, Springfield, VA, USA

15. Department of Ophthalmology, SUNY Downstate Health Sciences University, Brooklyn, NY, USA

16. Department of Psychology, The George Washington University, Washington, DC, USA

17. Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA

18. Department of Radiology, Brigham and Women’s Hospital, Boston, MA, USA

19. Department of Radiology, Harvard Medical School, Boston, MA, USA

20. Division of Health Informatics Technologies, National Institute of Biomedical Imaging and Bioengineering, Rockville, MD, USA

21. Cancer Imaging Program, National Cancer Institute, Rockville, MD, USA

22. Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA

23. American College of Radiology, Reston, VA, USA

24. Department of Psychology, Vanderbilt University, Nashville, TN, USA

25. Department of Abdominal Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, USA

26. Department of Psychology, University of California, Berkeley, CA, USA

27. Department of Surgery, Brigham and Women’s Hospital, Boston, MA, USA

28. Department of Ophthalmology, Harvard Medical School, Boston, MA, USA

Abstract

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.

Funder

National Cancer Institute

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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