stroke ai software (Brainomix)
86
Structured Review
Brainomix
stroke ai software
Stroke Ai Software, supplied by Brainomix, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/ais+software/ai+delineation+stroke/pm41339157-2-38-41
Average 86 stars, based on 1 article reviews
Stroke Ai Software, supplied by Brainomix, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/ais+software/ai+delineation+stroke/pm41339157-2-38-41
Average 86 stars, based on 1 article reviews
stroke ai software - by Bioz Stars,
2026-11
86/100 stars
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Magnetic Resonance Imaging:Article Title: Smart Clothing and Medical Imaging Innovations for Real-Time Monitoring and Early Detection of Stroke: Bridging Technology and Patient Care Article Snippet: .. Additionally, emerging technologies like portable MRI scanners and Software:Article Title: Smart Clothing and Medical Imaging Innovations for Real-Time Monitoring and Early Detection of Stroke: Bridging Technology and Patient Care Article Snippet: .. Additionally, emerging technologies like portable MRI scanners and Article Title: Real world clinical experience of using Brainomix e-CTA software in a medium size acute National Health Service Trust. Article Snippet: Real world clinical experience of using Brainomix e-CTA software in a medium size Acute NHS Trust Authors: Dr F Merchant iBSc MBBS FRCR, Dr J Choulterton BM BCh FRCP, Dr R Article Title: Artificial intelligence imaging decision support for acute stroke treatment in England: a prospective observational study. Article Snippet: .. Endovascular thrombectomy rates and interhospital transfer times were measured through SSNAP for all 107 NHS hospitals admitting patients with acute stroke in England from Jan 1, 2019, to Dec 31, 2023, before and after the systematic implementation of Article Title: 20th UK Stroke Forum Conference, 25-27 November 2025, Aberdeen, Scotland. Article Snippet: s 5 International Journal of Stroke, 20(3S) Introduction: Recruitment of people with spontaneous intracerebral haemorrhage (ICH) to clinical trials remains challenging.. We did a feasibility study for a platform study for ICH (PLINTH).. Method: Adults with incident ICH (or the legal representative of adults with incapacity) in NHS Lothian and Lanarkshire, Scotland, were shown (i) a <3-minute narrated video about this feasibility study before being asked to give verbal consent, then (ii) a slide presentation with personalised information about their ICH and uncertainties about their care before being asked to give written consent. Article Title: Systematic review of commercial artificial intelligence tools for the detection and volume quantification in intracerebral hemorrhage Article Snippet: e-ASPECTS (Company; Brainomix) , External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke, Mair et al [ ] , Total stroke N = 4100 ICH N = 567 , III Retrospective cohort study , Multicenter (data from seven national or international multicenter randomized controlled trials (RCTs) and two single-center prospective observational studies.) , AUC: NA PPV: 53% NPV: 98% Accuracy: 85% Sensitivity: 94% Specificity: 83% , N/A , NA , NA , Comments: The study was conducted in a two-stage approach. (1) The first stage Evaluated the performance of the software only in ischemic stroke patients which are not reported in this Table. (2) In a second stage a subanalysis was performed using an ischemic stroke cohort enriched with ICH positive and stroke mimics subjects creating a “Real-World Independent” cohort for the testing of e-ASPECTS” on which the presented data are based on. For ICH detection, e-ASPECTS had lower specificity, positive predictive value (PPV), and accuracy compared with experts, p < 0.0001. e-ASPECTS identified more false positive hemorrhage (14% vs < 1%) than experts. , The reference standard or ground truth was determined by a central expert panel (total 24 experts with crossover among studies, one expert report per scan), masked to follow-up imaging and most other clinical data.. .. e-ASPECTS (Company; Brainomix) , Evaluating AI software for delineating hemorrhage extent on CT brain imaging in Imaging:Article Title: Systematic review of commercial artificial intelligence tools for the detection and volume quantification in intracerebral hemorrhage Article Snippet: e-ASPECTS (Company; Brainomix) , External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke, Mair et al [ ] , Total stroke N = 4100 ICH N = 567 , III Retrospective cohort study , Multicenter (data from seven national or international multicenter randomized controlled trials (RCTs) and two single-center prospective observational studies.) , AUC: NA PPV: 53% NPV: 98% Accuracy: 85% Sensitivity: 94% Specificity: 83% , N/A , NA , NA , Comments: The study was conducted in a two-stage approach. (1) The first stage Evaluated the performance of the software only in ischemic stroke patients which are not reported in this Table. (2) In a second stage a subanalysis was performed using an ischemic stroke cohort enriched with ICH positive and stroke mimics subjects creating a “Real-World Independent” cohort for the testing of e-ASPECTS” on which the presented data are based on. For ICH detection, e-ASPECTS had lower specificity, positive predictive value (PPV), and accuracy compared with experts, p < 0.0001. e-ASPECTS identified more false positive hemorrhage (14% vs < 1%) than experts. , The reference standard or ground truth was determined by a central expert panel (total 24 experts with crossover among studies, one expert report per scan), masked to follow-up imaging and most other clinical data.. .. e-ASPECTS (Company; Brainomix) , Evaluating AI software for delineating hemorrhage extent on CT brain imaging in |