Justin Glavis-Bloom
Overview
Explore the profile of Justin Glavis-Bloom including associated specialties, affiliations and a list of published articles.
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Articles
38
Citations
494
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0
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Recent Articles
1.
Tang C, Nagesh S, Fussell D, Glavis-Bloom J, Mishra N, Li C, et al.
J Am Med Inform Assoc
. 2024 Aug;
31(11):2660-2667.
PMID: 39178375
Objectives: Patients are increasingly being given direct access to their medical records. However, radiology reports are written for clinicians and typically contain medical jargon, which can be confusing. One solution...
2.
Martino A, Yeates E, Grigorian A, Chinn J, Young H, Escobar J, et al.
Am Surg
. 2024 Apr;
90(10):2436-2441.
PMID: 38655777
Overnight radiology coverage for pediatric trauma patients (PTPs) is addressed with a combination of on-call radiology residents (RRs) and/or attending teleradiologists (ATs); however, the accuracy of these two groups has...
3.
Ho E, Tran J, Fateri C, Sahagian C, Sarton K, Glavis-Bloom J, et al.
Curr Probl Diagn Radiol
. 2024 Mar;
53(4):527-532.
PMID: 38514284
The shift from film to PACS in reading rooms, coupled with escalating case volumes, exposes radiologists to the issues of the modern computer workstation including computer work posture and work-related...
4.
Fateri C, Roth B, Rao S, Peta A, Limfueco L, Bui T, et al.
J Endourol
. 2023 Dec;
38(3):301-305.
PMID: 38149604
Early characterization of small (T1a, <4 cm) renal masses is imperative for patient care and treatment planning. Renal biopsy is a sensitive and specific procedure that can accurately differentiate small...
5.
Rao S, Glavis-Bloom J, Bui T, Afzali K, Bansal R, Carbone J, et al.
Curr Probl Diagn Radiol
. 2023 Jun;
52(6):501-504.
PMID: 37277270
Hepatosplenomegaly is commonly diagnosed by radiologists based on single dimension measurements and heuristic cut-offs. Volumetric measurements may be more accurate for diagnosing organ enlargement. Artificial intelligence techniques may be able...
6.
Mongan J, Kohli M, Houshyar R, Chang P, Glavis-Bloom J, Taylor A
Abdom Radiol (NY)
. 2022 Nov;
48(2):758-764.
PMID: 36371471
Purpose: To create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being used to screen radiographs to identify patients needing IVC filter retrieval....
7.
Fateri C, Peta A, Limfueco L, Bui T, Kar N, Glavis-Bloom J, et al.
J Endourol
. 2022 Nov;
37(3):367-373.
PMID: 36367194
Renal cell carcinoma (RCC) is the most common type of kidney cancer worldwide. Although radiologists assess enhancement patterns of renal tumors to predict tumor pathology report, to our knowledge, no...
8.
Rao S, Glavis-Bloom J, Kakish D, Tran-Harding K, Chow D, Nguyentat M, et al.
Emerg Radiol
. 2022 Oct;
30(1):27-32.
PMID: 36307571
Purpose: The coronavirus disease 2019 (COVID-19) pandemic has led to substantial disruptions in healthcare staffing and operations. Stay-at-home (SAH) orders and limitations in social gathering implemented in spring 2020 were...
9.
Yeates E, Grigorian A, Chinn J, Young H, Escobar J, Glavis-Bloom J, et al.
J Am Coll Surg
. 2022 Aug;
235(3):500-509.
PMID: 35972171
Background: Overnight radiology coverage for trauma patients is often addressed with a combination of on-call radiology residents (RR) and a teleradiology service; however, the accuracy of these 2 readers has...
10.
Kuoy E, Glavis-Bloom J, Hovis G, Yep B, Biswas A, Masudathaya L, et al.
Radiology
. 2022 Aug;
305(3):666-671.
PMID: 35916678
Background Point-of-care (POC) MRI is a bedside imaging technology with fewer than five units in clinical use in the United States and a paucity of scientific studies on clinical applications....