Výsledky vyhledávání - "Judy Burleson"

U.S. Diagnostic Reference Levels and Achievable Doses for 10 Pediatric CT Examinations

Autor: Kalpana M. Kanal, Priscilla F. Butler, Mythreyi B. Chatfield, Jered Wells, Ehsan Samei, Michael Simanowith, Dan Golden, Dustin A. Gress, Judy Burleson, William F. Sensakovic, Keith J. Strauss, Donald Frush

Publikováno v: Radiology. 302:164-174

Background Diagnostic reference levels (DRLs) and achievable doses (ADs) were developed for the 10 most commonly performed pediatric CT examinations in the United States using the American College of Radiology Dose Index Registry. Purpose To develop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61b867979b549b51b950dc46f463f1aa
https://doi.org/10.1148/radiol.2021211241

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Characteristics of Persons Screened for Lung Cancer in the United States

Autor: Gerard A. Silvestri, Lenka Goldman, Judy Burleson, Michael Gould, Ella A. Kazerooni, Peter J. Mazzone, M. Patricia Rivera, V. Paul Doria-Rose, Lauren S. Rosenthal, Michael Simanowith, Robert A. Smith, Nichole T. Tanner, Stacey Fedewa

Publikováno v: Annals of Internal Medicine.

Lung cancer screening (LCS) with low-dose computed tomography (LDCT) was recommended by the U.S. Preventive Services Task Force (USPSTF) in 2013, making approximately 8 million Americans eligible for screening. The demographic characteristics and adh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be3a257ac846d0284438327bf26016ef
https://doi.org/10.7326/m22-1325

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Predicted Cost Savings Achieved by the Radiology Support, Communication and Alignment Network from Reducing Medical Imaging Overutilization in the Medicare Population

Autor: William T. Thorwarth, Max Wintermark, Mythreyi Chatfield, Nancy Fredericks, Andrew B. Rosenkrantz, Paymon Rezaii, Laura Chaves Cerdas, Danny R. Hughes, Richard Duszak, G. Rebecca Haines, Judy Burleson

Publikováno v: Journal of the American College of Radiology. 18:704-712

Objective The Radiology Support, Communication and Alignment Network (R-SCAN) is a quality improvement program through which patients, referring clinicians, and radiologists collaborate to improve imaging appropriateness based on Choosing Wisely reco

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01a68ba4fb7a48d772ba4f0e8ff13309
https://doi.org/10.1016/j.jacr.2020.12.011

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Impact of the COVID-19 Pandemic on Breast Imaging: An Analysis of the National Mammography Database

Autor: Lars J. Grimm, Cindy Lee, Robert D. Rosenberg, Judy Burleson, Michael Simanowith, Tom Fruscello, Casey E. Pelzl, Sarah M. Friedewald, Linda Moy, Margarita L. Zuley

Publikováno v: Journal of the American College of Radiology : JACR. 19(8)

The aim of this study was to quantify the initial decline and subsequent rebound in breast cancer screening metrics throughout the coronavirus disease 2019 (COVID-19) pandemic.Screening and diagnostic mammographic examinations, biopsies performed, an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96c23f2b60864330b4000e48c2d9ddb7
https://pubmed.ncbi.nlm.nih.gov/35690079

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Assessment of the Radiology Support, Communication and Alignment Network to Reduce Medical Imaging Overutilization: A Multipractice Cohort Study

Autor: Nancy Fredericks, E. Kent Yucel, Christie M. Lincoln, Derek B. Boothroyd, Marc H. Willis, Max Wintermark, Judy Burleson, Victoria Y. Ding, G. Rebecca Haines, Jason Hom, Geraldine McGinty, Jacqueline A. Bello, William T. Thorwarth, Mythreyi Chatfield, Paymon Rezaii, Cynthia D. Smith, Bruce J. Hillman

Publikováno v: Journal of the American College of Radiology. 17:597-605

The aim of this study was to determine whether participation in Radiology Support, Communication and Alignment Network (R-SCAN) results in a reduction of inappropriate imaging in a wide range of real-world clinical environments.This quality improveme

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcdfb0a4a2a6732d5395d56ea9880c96
https://doi.org/10.1016/j.jacr.2020.02.011

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A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop

Autor: Nicholas Petrick, Marisa Cruz, Krishna Kandarpa, Ronald M. Summers, Tarik K. Alkasab, Steven E. Seltzer, Bibb Allen, Danica Marinac-Dabic, Judy Burleson, Robert J. Hanisch, Curtis P. Langlotz, Kevin Lyman, Keith P. Dreyer, Wendy Nilsen

Publikováno v: Journal of the American College of Radiology. 16:1179-1189

Advances in machine learning in medical imaging are occurring at a rapid pace in research laboratories both at academic institutions and in industry. Important artificial intelligence (AI) tools for diagnostic imaging include algorithms for disease d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0739a79705c17e9f3955332ab2b6ada
https://doi.org/10.1016/j.jacr.2019.04.014

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Developing Quality Measures for Diagnostic Radiologists: Part 2

Autor: Samir B. Patel, Kesav Raghavan, Jason N. Itri, Samantha Tierney, Judy Burleson, Diedra Gray, Jennifer C. Broder, David Seidenwurm, Scott MacDonald

Publikováno v: Journal of the American College of Radiology. 15:1366-1384

The ACR convened a cross-specialty, multidisciplinary technical expert panel to identify and define new measures for quality improvement. These measures can be included in the ACR’s National Radiology Data Registry and potentially used in the CMS q

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b3b6edb518751cc7493ec9c495aa54
https://doi.org/10.1016/j.jacr.2018.05.040

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Improving diagnosis in health care: perspectives from the American College of Radiology

Autor: Bibb Allen, William T. Thorwarth, Mythreyi Chatfield, Judy Burleson

Publikováno v: Diagnosis. 4:113-124

In September of 2014, the American College of Radiology joined a number of other organizations in sponsoring the 2015 National Academy of Medicine report, Improving Diagnosis In Health Care. Our presentation to the Academy emphasized that although di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe661d07880afd6d866ed6d1ec7903bf
https://doi.org/10.1515/dx-2017-0020

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Everything Every Radiologist Always Wanted (and Needs) to Know About Clinical Decision Support

Autor: Joseph S. Fotos, Max Wintermark, Giuseppe Cruciata, Jason Hom, Ana M. Franceschi, Nancy Fredericks, Michael A. Bruno, Timothy J. Mosher, Ted Reuss, Judy Burleson, Becky Haines, Randy Horton, Marc H. Willis

Publikováno v: Journal of the American College of Radiology : JACR. 17(5)

As of January 2020, clinical decision support needs to be implemented across US health systems for advanced diagnostic imaging services. This article reviews the history, importance, and hurdles of clinical decision support and discusses a few pearls

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934bb6d5febdfc53fcbeb1d1e8740b8b
https://pubmed.ncbi.nlm.nih.gov/32370997

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