James Thomas Patrick Decourcy Hallinan
Overview
Explore the profile of James Thomas Patrick Decourcy Hallinan including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
71
Citations
337
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Hong C, Hallinan J, Lau E, Dalmau-Pastor M, Calder J, Kerkhoffs G, et al.
Knee Surg Sports Traumatol Arthrosc
. 2025 Mar;
PMID: 40029797
Purpose: The anterior talofibular ligament (ATFL) consists of two fascicles, with the intra-articular superior fascicle and extra-articular inferior fascicle connected to the calcaneofibular ligament (CFL) via the arciform fibres, forming...
2.
Kumar N, Hui S, Chan Y, Tan Y, Jeyachandran P, Kumar L, et al.
Global Spine J
. 2025 Feb;
:21925682251319760.
PMID: 39946653
Study Design: Prospective Clinical Study. Objective: Allogeneic blood transfusion (ABT) is the current standard of blood replenishment for metastatic spine tumour surgery (MSTS) despite known complications. Salvaged blood transfusion (SBT)...
3.
Choorakuttil R, Kan E, Hallinan J, Cuenza T, Ming Ho E, Afrin R, et al.
Jpn J Radiol
. 2025 Jan;
PMID: 39826087
Magnetic Resonance Imaging (MRI) safety is a critical concern in the Asia-Oceania region, as it is elsewhere in the world, due to the unique and complex MRI environment that demands...
4.
Hallinan J, Leow N, Ong W, Lee A, Low Y, Chan M, et al.
Spine J
. 2024 Nov;
25(3):505-514.
PMID: 39536908
Background Context: Secure institutional large language models (LLM) could reduce the burden of noninterpretative tasks for radiologists. Purpose: Assess the utility of a secure institutional LLM for MRI spine request...
5.
Low X, Shaheryar Furqan M, Makmur A, Lim D, Liu R, Lim X, et al.
Ann Acad Med Singap
. 2024 Nov;
53(10):635-637.
PMID: 39508697
No abstract available.
6.
Lee A, Wu J, Liu C, Makmur A, Ting Y, Nor F, et al.
Spine J
. 2024 Oct;
25(2):255-264.
PMID: 39357744
Background Context: A deep learning (DL) model for degenerative cervical spondylosis on MRI could enhance reporting consistency and efficiency, addressing a significant global health issue. Purpose: Create a DL model...
7.
Ong W, Lee A, Tan W, Fong K, Lai D, Tan Y, et al.
Cancers (Basel)
. 2024 Sep;
16(17).
PMID: 39272846
In spinal oncology, integrating deep learning with computed tomography (CT) imaging has shown promise in enhancing diagnostic accuracy, treatment planning, and patient outcomes. This systematic review synthesizes evidence on artificial...
8.
Koh J, Tan L, Lim C, Yuen L, Ho J, Tan J, et al.
Arch Gerontol Geriatr
. 2024 Jun;
126:105549.
PMID: 38944005
Background: There is growing interest in the association of CT-assessed sarcopenia with adverse outcomes in non-oncological settings. Purpose: The aim of this systematic review is to summarize existing literature on...
9.
Lee A, Lee E, Nair S, Wang C, Chong J, Hallinan J, et al.
J Am Coll Radiol
. 2024 Jun;
21(11):1765-1773.
PMID: 38906500
Objective: Develop structured, quality improvement interventions to achieve a 15%-point reduction in MRIs performed under sedation or general anesthesia (GA) delayed more than 15 min within a 6-month period. Methods:...
10.
Liu R, Ong W, Makmur A, Kumar N, Low X, Shuliang G, et al.
Bioengineering (Basel)
. 2024 May;
11(5).
PMID: 38790351
Osteoporosis is a complex endocrine disease characterized by a decline in bone mass and microstructural integrity. It constitutes a major global health problem. Recent progress in the field of artificial...