Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration.


Journal

JNCI cancer spectrum
ISSN: 2515-5091
Titre abrégé: JNCI Cancer Spectr
Pays: England
ID NLM: 101721827

Informations de publication

Date de publication:
05 01 2022
Historique:
received: 09 06 2021
revised: 20 10 2021
accepted: 11 11 2021
entrez: 14 6 2022
pubmed: 15 6 2022
medline: 18 6 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35699495
pii: 6491257
doi: 10.1093/jncics/pkab099
pmc: PMC8826981
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Published by Oxford University Press 2021. This work is written by a US Government employee and is in the public domain in the US.

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Auteurs

Melissa Treviño (M)

Behavioral Research Program, National Cancer Institute, Rockville, MD, USA.
Clinical Research in Complementary and Integrative Health Branch, National Center for Complementary and Integrative Health, Rockville, MD, USA.

George Birdsong (G)

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

Ann Carrigan (A)

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

Peter Choyke (P)

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

Trafton Drew (T)

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

Miguel Eckstein (M)

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

Anna Fernandez (A)

Surveillance Research Program, National Cancer Institute, Rockville, MD, USA.
Booz Allen Hamilton, McLean, VA, USA.

Brandon D Gallas (BD)

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

Maryellen Giger (M)

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

Stephen M Hewitt (SM)

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

Todd S Horowitz (TS)

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

Yuhong V Jiang (YV)

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

Bonnie Kudrick (B)

Transportation Security Administration, Springfield, VA, USA.

Susana Martinez-Conde (S)

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

Stephen Mitroff (S)

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

Linda Nebeling (L)

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

Joseph Saltz (J)

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

Frank Samuelson (F)

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

Steven E Seltzer (SE)

Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Department of Radiology, Harvard Medical School, Boston, MA, USA.

Behrouz Shabestari (B)

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

Lalitha Shankar (L)

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

Eliot Siegel (E)

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

Mike Tilkin (M)

American College of Radiology, Reston, VA, USA.

Jennifer S Trueblood (JS)

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

Alison L Van Dyke (AL)

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

Aradhana M Venkatesan (AM)

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

David Whitney (D)

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

Jeremy M Wolfe (JM)

Department of Radiology, Harvard Medical School, Boston, MA, USA.
Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA.
Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.

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