P
Paul Nagy
Researcher at Johns Hopkins University School of Medicine
Publications - 146
Citations - 2788
Paul Nagy is an academic researcher from Johns Hopkins University School of Medicine. The author has contributed to research in topics: Quality management & Health care. The author has an hindex of 24, co-authored 141 publications receiving 2349 citations. Previous affiliations of Paul Nagy include Children's National Medical Center & University of Maryland, Baltimore.
Papers
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Journal ArticleDOI
Cognitive and system factors contributing to diagnostic errors in radiology.
TL;DR: Some of the cognitive and system-based sources of detection and interpretation errors in diagnostic radiology are described and potential approaches to help reduce misdiagnoses are discussed to create sustainable improvement in diagnostic errors.
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A 1-year study of osteoinduction in hydroxyapatite-derived biomaterials in an adult sheep model: part I.
Arun K. Gosain,Liansheng Song,Paul A. Riordan,Marco T. J. Amarante,Paul Nagy,Charles R. Wilson,Jeffrey M. Toth,John L. Ricci,John L. Ricci +8 more
TL;DR: This study confirms the occurrence of true osteoinduction within hydroxyapatite-derived biomaterials, when examined using backscatter techniques.
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Patient Trajectories Among Persons Hospitalized for COVID-19 : A Cohort Study.
Brian T. Garibaldi,Jacob Fiksel,John Muschelli,Matthew L Robinson,Masoud Rouhizadeh,Jamie Perin,Grant Schumock,Paul Nagy,Josh H. Gray,Harsha Malapati,Mariam Ghobadi-Krueger,Timothy Niessen,Bo Soo Kim,Peter M. Hill,M. Shafeeq Ahmed,Eric D. Dobkin,Renee Blanding,Jennifer Abele,Bonnie Woods,Kenneth Harkness,David R. Thiemann,Mary G. Bowring,Aalok B. Shah,Mei Cheng Wang,Karen Bandeen-Roche,Antony Rosen,Scott L. Zeger,Amita Gupta +27 more
TL;DR: This retrospective analysis from 5 Maryland and Washington, DC area hospitals determines factors on hospital admission predictive of severe disease or death from COVID-19 and describes patient trajectories and outcomes categorized using the WHO CO VID-19 disease severity scale.
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Inherent variability of CT lung nodule measurements in vivo using semiautomated volumetric measurements
Lawrence R. Goodman,Meltem Gülsün,Meltem Gülsün,Lacey Washington,Paul Nagy,Paul Nagy,Kelly L. Piacsek +6 more
TL;DR: Repeatability and reproducibility of volumetric measurements are better than those of linear measurements reported in the literature and show minimal interobserver variability.
Journal ArticleDOI
Cloud computing in medical imaging.
George C. Kagadis,Christos Kloukinas,Kevin L. Moore,Jim Philbin,Panagiotis Papadimitroulas,Christos Alexakos,Paul Nagy,Dimitris Visvikis,William R. Hendee +8 more
TL;DR: This Vision 20/20 paper addresses major questions related to the applicability of advanced cloud computing in medical imaging and considers security and ethical issues that accompany cloud computing.