6 results match your criteria: "Journal of the American College of Radiology.[Affiliation]"
J Am Coll Radiol
December 2024
Vice Chair for Radiology, Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts; Co-Chair, RSNA Health Equity Committee; Associate Editor, Journal of the American College of Radiology.
Purpose: The aim of this study was to assess how pandemic-related health concerns and discrimination affected cancer screenings among Asian American women (AAW).
Methods: A two-phase explanatory mixed-methods study was conducted. In phase 1, a survey was distributed among AAW eligible for lung, breast, or colorectal cancer screening to assess delays during the pandemic, concerns about contracting coronavirus disease 2019 (COVID-19), barriers to care, and experiences of discrimination.
J Am Coll Radiol
October 2024
Vice Chair for Clinical Research and John Westgate Hope Endowed Chair for Faculty Development, Department of Radiology, Children's Hospital of Philadelphia, Perelman Schol of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; and Associate Editor, Journal of the American College of Radiology.
J Am Coll Radiol
September 2024
Department of Radiological Sciences, University of California Irvine, Irvine, California; associate Editor at Journal of American College of Radiology; Director of Health Services and Comparative Effectiveness Outcome Research; Associate Chair for Faculty Development at University of California Irvine.
J Am Coll Radiol
February 2024
University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Radiology and Nuclear Medicine, University of Maryland, Baltimore, Maryland. Electronic address: https://twitter.com/vishwa_parekh.
Radiology is on the verge of a technological revolution driven by artificial intelligence (including large language models), which requires robust computing and storage capabilities, often beyond the capacity of current non-cloud-based informatics systems. The cloud presents a potential solution for radiology, and we should weigh its economic and environmental implications. Recently, cloud technologies have become a cost-effective strategy by providing necessary infrastructure while reducing expenditures associated with hardware ownership, maintenance, and upgrades.
View Article and Find Full Text PDFJ Am Coll Radiol
February 2024
Department of Radiology, University of Washington School of Medicine, Seattle, Washington, and Department of Health Systems & Population Health, University of Washington School of Public Health, Seattle, WA; Director of the Northwest Screening and Cancer Outcomes Research Enterprise at the University of Washington and Deputy Editor of Journal of the American College of Radiology. Electronic address:
Purpose: To summarize the literature regarding the performance of mammography-image based artificial intelligence (AI) algorithms, with and without additional clinical data, for future breast cancer risk prediction.
Materials And Methods: A systematic literature review was performed using six databases (medRixiv, bioRxiv, Embase, Engineer Village, IEEE Xplore, and PubMed) from 2012 through September 30, 2022. Studies were included if they used real-world screening mammography examinations to validate AI algorithms for future risk prediction based on images alone or in combination with clinical risk factors.
J Am Coll Radiol
August 2021
Department of Radiology, Liberty Hospital/Alliance Radiology, Liberty, Missouri.