James Beharry
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Explore the profile of James Beharry including associated specialties, affiliations and a list of published articles.
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21
Citations
161
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Recent Articles
1.
Shipley J, Beharry J, Yeh W, Seery N, Foong Y, Ayton D, et al.
Med J Aust
. 2025 Feb;
PMID: 39923190
Introduction: Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative disease of the central nervous system with rapidly evolving treatment options and strategies. An iterative modified Delphi process was used...
2.
Shipley J, Beharry J, Yeh W, Seery N, Foong Y, Ayton D, et al.
Med J Aust
. 2025 Feb;
PMID: 39923189
Introduction: Multiple sclerosis (MS) is a chronic inflammatory demyelinating and degenerative disease of the central nervous system. There were 33 335 people with MS in Australia in 2021 and 2917...
3.
Beharry J, Yogendrakumar V, Barros G, Davis S, Norrving B, Figtree G, et al.
Eur Stroke J
. 2025 Jan;
:23969873241309516.
PMID: 39745075
Introduction: Little is known of the long-term prognosis of patients with acute ischaemic stroke in the absence of standard modifiable stroke risk factors (SMoRFs). In acute coronary syndromes, patients without...
4.
Yogendrakumar V, Balabanski A, Johns H, Churilov L, Parsons N, Beharry J, et al.
J Am Heart Assoc
. 2024 Oct;
13(21):e036856.
PMID: 39424402
Background: Mobile stroke units have been shown to deliver faster patient care and improve clinical outcomes. However, costs associated with staffing limit their use to densely populated cities. Using the...
5.
Diprose J, Diprose W, Chien T, Wang M, McFetridge A, Tarr G, et al.
J Neurointerv Surg
. 2024 Mar;
17(3):266-271.
PMID: 38527795
Background: Deep learning using clinical and imaging data may improve pre-treatment prognostication in ischemic stroke patients undergoing endovascular thrombectomy (EVT). Methods: Deep learning models were trained and tested on baseline...
6.
Yogendrakumar V, Beharry J, Churilov L, Pesavento L, Alidin K, Ugalde M, et al.
Neurology
. 2024 Mar;
102(7):e209166.
PMID: 38502892
Background And Objectives: Early treatment with intravenous alteplase increases the probability of lytic-induced reperfusion in large vessel occlusion (LVO) patients. The relationship of tenecteplase-induced reperfusion and the timing of thrombolytic...
7.
Warach S, Ranta A, Kim J, Song S, Wallace A, Beharry J, et al.
JAMA Neurol
. 2023 May;
80(7):732-738.
PMID: 37252708
Importance: Symptomatic intracranial hemorrhage (sICH) is a serious complication of stroke thrombolytic therapy. Many stroke centers have adopted 0.25-mg/kg tenecteplase instead of alteplase for stroke thrombolysis based on evidence from...
8.
Werdiger F, Gotla S, Visser M, Kolacz J, Yogendrakumar V, Beharry J, et al.
Eur J Radiol
. 2023 May;
164:110845.
PMID: 37148842
Introduction: Stroke is a leading cause of adult disability and death worldwide. Automated detection of stroke on brain imaging has promise in a time critical environment. We present a method...
9.
Dunphy H, Garcia-Esperon C, Hong J, Manoczki C, Wilson D, Chew B, et al.
Eur Stroke J
. 2023 Apr;
8(1):191-198.
PMID: 37021178
Introduction: The very elderly (⩾80 years) are under-represented in randomised endovascular thrombectomy (EVT) clinical trials for acute ischaemic stroke. Rates of independent outcome in this group are generally lower than...
10.
Werdiger F, Visser M, Bivard A, Li X, Gotla S, Sharobeam A, et al.
Neuroimage
. 2023 Mar;
271:119985.
PMID: 36933627
We present an annotated dataset for the purposes of creating a benchmark in Artificial Intelligence for automated clot detection. While there are commercial tools available for automated clot detection on...