Clinical Evidence: Brainomix 360 Stroke

Explore 60+ peer-reviewed studies validating Brainomix 360 performance and value, published by international academic groups. Brainomix products have been rigorously tested across diverse clinical settings—find the evidence below.

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Automated assessment of collateral circulation and infarct core: predictors of functional outcomes in acute ischemic stroke following endovascular thrombectomy

This study aimed to evaluate the predictive value of automatically assessed collateral circulation (CC) and infarct core for functional outcome in acute ischemic stroke (AIS) patients treated with endovascular thrombectomy (EVT).

Feb 4, 2025

CT perfusion for lesion-symptom mapping in large vessel occlusion ischemic stroke

This study of 171 patients aimed to characterize the relationship between CTP-defined hypoperfusion and National Institutes of Health Stroke Scale (NIHSS) subitem deficits. It found that symptom-based mapping from presenting imaging could refine treatment decisions targeting specific neurological deficits.

Jan 27, 2025

The e-STROKE Study: The Design of a Prospective Observational Multicentral Study

The e-STROKE study is a prospective, multicenter observational study designed to assess the impact of various CT parameters (including e-ASPECT, CT perfusion (CTP), collateral flow status, and the size and location of the ischemic lesion) on the clinical outcomes of patients with ischemic stroke, as evaluated by the modified Rankins Scale (mRS) three months post-stroke.

Jan 3, 2025

Health Innovation Oxford and Thames Valley (previously Oxford AHSN) Final evaluation report of e-Stroke (as part of the AI in Health and Care Award)

This study aimed to evaluate AI technologies under the AAC AI Award (2021–2024) for alignment with the NHS Long Term Plan, informing adoption decisions by NICE and the UK Screening Committee. It assessed Phase 4 “promising technology” winners, including e-Stroke by Brainomix, based on real-world efficacy and clinical impact, with Oxford AHSN conducting its evaluation.

Nov 29, 2024

Revolutionizing Acute Stroke Care: A Review of Food and Drug Administration-Approved Software as Medical Devices for Stroke Triage

This review examines FDA-approved AI-enabled stroke triage devices, assessing their impact on notification times, care latency, and health disparities through sensitivity, specificity, and time-to-notification metrics

Nov 28, 2024

Current Stroke Solutions Using Artificial Intelligence: A Review of the Literature

Following the PRISMA guidelines, a comprehensive systematic review was conducted using PubMed, Embase, Web of Science, and Scopus. Characteristic descriptive measures were gathered as appropriate from all included studies, including the sensitivity, specificity, accuracy, and comparison of the available tools.

Nov 26, 2024

Thrombectomy for Stroke With Large Infarct on Noncontrast CT (TESLA randomised clinical trial)

Objective To evaluate the effect of thrombectomy in patients with a large infarct on a noncontrast CT scan within 24 hours of onset.

Sept 23, 2024

The Absence of Typical Stroke Symptoms and Risk Factors Represents the Greatest Risk of an Incorrect Diagnosis in Stroke Patients

This study aimed to determine the percentage of brain strokes incorrectly diagnosed by paramedic teams and to analyze the factors influencing incorrect diagnoses.

Sept 11, 2024

Current Applications and Future Perspectives of Artificial and Biomimetic Intelligence in Vascular Surgery and Peripheral Artery Disease

This white paper discussed the role of AI and Biomimetic Intelligence (BI) enhancing PAD and CLTI diagnosis and treatment by analyzing clinical, biological, and imaging data. They optimize disease assessment, treatment planning, and risk prediction, challenging traditional physician-driven decision-making.

Aug 8, 2024

Adoption, orchestration, and deployment of artificial intelligence within the National Health Service—facilitators and barriers: an expert roundtable discussion

This article summarizes an expert roundtable discussion, convened by the British Institute of Radiology, comprised experts from clinical, NHS management and industry backgrounds.

Jun 5, 2024

Patients Randomised to Glenzocimab Suffered Less Haemorrhagic Transformation at 24 Hours Compared to Placebo: AI-Imaging Sub-Analysis of the ACTIMIS Trial

In this sub-analysis, volumetric imaging biomarkers were used to assess efficacy of glenzocimab.

Feb 1, 2024

Artificial intelligence-based decision support software to improve the efficacy of acute stroke pathway in the NHS: an observational study

In this single-center study in the United Kingdom, the DIDO time significantly decreased since the introduction of Brainomix 360 decision support software into an ASC hyperacute stroke pathway.

Jan 18, 2024

Automated Assessment of the DWI-FLAIR Mismatch in Patients with Acute Ischemic Stroke: Added Value to Routine Clinical Practice

This study aimed to use the Brainomix 360 software for automated classification of the DWI-FLAIR mismatch in a cohort of patients with acute ischemic stroke and in a comparative analysis with 2 expert neuroradiologists.

Jan 1, 2024

Clinical value of automated volumetric quantification of early ischemic tissue changes on non-contrast CT

This study aimed to test the clinical value of quantitative and automated volumetric evaluation of e changes compared with the Alberta Stroke Program Early CT Score (ASPEarly ischemicCTS) in a large single-institutional patient cohort.

Nov 15, 2023

Real-world evaluation of Brainomix 360 software

The aim of this study was to prospectively evaluate the performance of Brainomix 360 Stroke software in an unselected cohort of patients with suspected acute ischaemic stroke.

Nov 10, 2023

Automated assessment of ischemic core on noncontrast computed tomography: a multicenter comparative analysis with CT perfusion

This paper aimed to assess the performance of the Brainomix 360 Suite software (Brainomix) in assessing ischemic core volumes on NCCT compared with CT perfusion (CTP) in patients with acute ischemic stroke

Oct 13, 2023

Comparison of CT Perfusion Software Packages for Thrombectomy Eligibility

This study aimed to investigate the agreement between perfusion parametric maps of three software packages – RAPID(RapidAI-IschemaView), Viz CTP(Viz.ai), and e-CTP(Brainomix) - in estimating baseline ischemic core volumes of near completely/completely reperfused patients.

Sept 9, 2023

Impact of e-ASPECTS software on the performance of physicians compared to a consensus ground truth: a multi-reader, multi-case study

In this study, expert US physicians (neurology and neuroradiology) at the Mayo Clinic were more accurate and consistent when using e-ASPECTS compared to without e-ASPECTS using a consensus ASPECTS score as a reference.

Sept 7, 2023

Hyperdense Artery Sign in Patients With Acute Ischemic Stroke–Automated Detection With Artificial Intelligence-Driven Software

This study sought to evaluate automated HAS detection by commercial software and compared its performance to that of trained physicians against a reference standard.

Apr 5, 2023

Falsely Normal CT Perfusion Ischemic Core Readings Are Common and Often Associated with Deep Infarcts

Proper identification of infarct extent is crucial for thrombectomy and prognostication. We sought to study the frequency and topographic aspects of those cases in which CT perfusion (CTP) misses a core lesion that is present on initial non-contrast CT (NCCT)

Feb 15, 2023

Automated CT angiography collateral scoring in anterior large vessel occlusion stroke: A multireader study

The present multireader study aimed to evaluate the performance of e-CTA software for automated assistance in CTA-CS scoring.

Jan 17, 2023

Diagnostic accuracy of decision-support software for the detection of intracranial large-vessel occlusion in CT angiography

To investigate the real-world clinical performance of the decision-support software “e-CTA” (e-Stroke Suite, Brainomix Limited, Oxford UK) for the detection of acute intracranial large-vessel occlusion (LVO) on computed tomography (CT) angiography at a UK district general hospital.

Jan 11, 2023

Automated quantification of atrophy and acute ischemic volume for outcome prediction in endovascular thrombectomy patients

This study aims to examine the impact of automated measures of stroke severity and underlying brain frailty on short- and long-term outcomes in acute stroke treated with EVT.

Dec 15, 2022

Automated evaluation of ASPECTS from brain computerized tomography of patients with acute ischemic stroke

This paper seeks to assess the performance of emergency physicians (EPs) in the evaluation of ASPECTS scores with and without the use of E-ASPECTS and to compare their results with neuroradiologists.

Oct 22, 2022

External Validation of e-ASPECTS Software for Interpreting Brain CT in Stroke

In this paper the authors retrospectively processed 400 CT scans with e-ASPECTS. The authors primary analysis show that e-ASPECTS was non-inferior to experts. e-ASPECTS had a greater sensitivity and lower specificity to experts.

Sept 23, 2022

Comparison of automated ASPECTS, large vessel occlusion detection and CTP analysis provided by Brainomix and RapidAI in patients with suspected ischaemic stroke

The authors from Imperial College, a leading academic institution who use RAPID at the Charing Cross Hospital in London, looked at their cases and independently processed them using Brainomix 360 to see how it would compare.

Aug 19, 2022

Automated scoring of collaterals, blood pressure, and clinical outcome after endovascular treatment in patients with acute ischemic stroke and large-vessel occlusion

We aimed to determine whether the degree of collateral circulation is associated with blood pressure at admission in acute ischemic stroke patients treated with endovascular treatment and to determine its prognostic value.

Aug 9, 2022

Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction

This paper demonstrates that a combination of both automated imaging (e-ASPECTS and e-CTA) and clinical data provides the most powerful information about patient outcome.

May 19, 2022

e-ASPECTS software improves interobserver agreement and accuracy of interpretation of aspects score

This study aimed to show whether, compared to standard image interpretation without AI, Brainomix e-ASPECTS software improved interobserver agreement and accuracy in detecting ASPECTS regions affected in anterior circulation LVO.

Apr 14, 2022

Full Reperfusion Without Functional Independence After Mechanical Thrombectomy in the Anterior Circulation

Prediction of futile recanalization (FR), i.e. failure of long-term functional independence despite full reperfusion in mechanical thrombectomy (MT), is instrumental in patients undergoing endovascular therapy.

Mar 25, 2022

Clinical Outcomes in Basal Ganglia Strokes Treated With Mechanical Thrombectomy

Basal ganglia infarcts are thought to carry worse clinical outcomes compared with other infarct patterns. We aimed to investigate whether pretreatment topographic infarct patterns including complete basal ganglia involvement versus other infarct patterns help predict mechanical thrombectomy outcomes.

Mar 21, 2022

Improved stroke care in a primary stroke centre using AI-decision support

Use of artificial intelligence decision support in a hyperacute stroke pathway facilitates decision-making and can improve rate and time of reperfusion therapies in a hub-and-spoke system of care.

Feb 8, 2022

Evolution of Hypodensity on Non-Contrast CT in Correlation with Collaterals in Anterior Circulation Stroke with Successful Endovascular Reperfusion

The aim of the study was to assess the impact of collaterals on the evolution of hypodensity on non-contrast CT (NCCT) in anterior circulation stroke with reperfusion by mechanical thrombectomy (MT)

Jan 16, 2022

Artificial Intelligence software to interpret brain computed tomography in patients with stroke: external validation of e-ASPECTS software for Interpreting Brain CT in Stroke

On independent testing, e-ASPECTS provided moderate agreement with experts and overcalled stroke features. Therefore, future prospective trials testing impacts of AI software on patient care and outcome are required before widespread implementation of stroke decision-support software

Dec 1, 2021

Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients

Artificial intelligence (AI)–based image analysis is increasingly applied in the acute stroke field. Its implementation for the detection and quantification of hemorrhage suspect hyperdensities in non-contrast-enhanced head CT (NCCT) scans may facilitate clinical decision-making and accelerate stroke management.

Nov 13, 2021

Novel selection paradigms for endovascular stroke treatment in the extended time window

ASPECTS-based selection paradigms for late presenting and wake-up strokes ET have comparable proportions of qualifying patients and similar 90-day functional outcomes as DAWN-CCM and DEFUSE-3-PIM

Jun 11, 2021

Artificial Intelligence and Acute Stroke Imaging

Prompt detection and treatment of acute cerebrovascular disease is critical to reduce morbidity and mortality.

Nov 26, 2020

Thrombectomy for Stroke in the Public Health Care System of Brazil (RESILIENT)

In this randomized trial conducted in the public health care system of Brazil, endovascular treatment within 8 hours after the onset of stroke symptoms in conjunction with standard care resulted in better functional outcomes at 90 days than standard care alone

Nov 6, 2020

Innovative use of artificial intelligence and digital communication in acute stroke pathway in response to COVID-19

In this paper, the authors describe how Brainomix 360, with Brainomix 360 Cloud functionality, has been used to mitigate the impact of the COVID-19 pandemic, supporting acute stroke care and facilitating decision making.

Jun 30, 2020

Detection of ischemic changes on baseline multimodal computed tomography: expert reading vs. Brainomix and RAPID software

This study demonstrated high accuracy for the assessment of ischemic changes by different CT modalities with the best accuracy for CBF<30% and Tmax>10s. The use of automated software has a potential to improve the detection of ischemic changes.

Jun 30, 2020

Interaction between time, ASPECTS, and clinical mismatch

This study aimed to determine the prevalence of CCM in large vessel occlusion (LVO) strokes and study the impact of time and the Alberta Stroke Program Early CT Score (ASPECTS) on the likelihood of mismatch.

Mar 24, 2020

Thrombolysis in Stroke With Unknown Onset Based on Non-Contrast Computerized Tomography (TRUST CT)

Non‐contrast computed tomography‐based thrombolysis in WUS/SUO seems feasible and safe and may be effective. Randomized prospective comparisons are warranted.

Feb 12, 2020

Impact of slice thickness on clinical utility of automated Alberta Stroke Program Early Computed Tomography Scores

The e-ASPECTS software generates robust values for e-ASPECTS and acute infarct volumes when using ST ≤ 4 mm with ST = 1 mm yielding the best performance for predicting baseline stroke severity and clinical outcome after 90 days.

Dec 11, 2019

Region-specific agreement in ASPECTS estimation between neuroradiologists and e-ASPECTS software

This study compared e-ASPECTS with manual scoring by experienced neuroradiologists for all 10 individual ASPECTS regions

Dec 9, 2019

Automated versus manual imaging assessment of early ischemic changes in acute stroke: comparison of two software packages and expert consensus

This study compared the agreement of total and region-based ASPECTS between two automated software packages and expert consensus with final ASPECTS in EVT patients with prompt reperfusion.

Nov 19, 2019

Automated ASPECTS in Acute Ischemic Stroke: A Comparative Analysis with CT Perfusion

This study aimed to assess the performance of an automated ASPECTS software against the assessment of a neuroradiologist in a comparative analysis with concurrent CTP-based CBV ASPECTS

Nov 14, 2019

e-ASPECTS derived acute ischemic volumes on non-contrast-enhanced computed tomography images

This study aimed to show validation of automatically derived acute ischemic volumes (AAIV) from e-ASPECTS on non-contrast computed tomography (NCCT).

Jul 18, 2019

Electronic Alberta Stroke Program Early CT score change and functional outcome in a drip-and-ship stroke service

Patient transfer in a drip-and-ship network was associated with declines in e-ASPECTS associated with worse functional outcome. Image to-image time did not influence this association, but worsening collateral status did.

Jul 12, 2019

Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans

This study used machine learning to categorize collateral flow in 98 thrombectomy-eligible patients and generate an e-CTA collateral score (CTA-CS) with Brainomix 360 Suite

Jun 19, 2019

Location-specific ASPECTS does not improve Outcome Prediction in Large Vessel Occlusion compared to Cumulative ASPECTS

Here researchers investigated whether the predictive performance on clinical outcome can be increased by considering specific ASPECTS subregions.

Dec 22, 2018

Simplified selection criteria for patients with longer or unknown time to treatment predict good outcome after mechanical thrombectomy

This study aimed to identify simplified selection criteria for mechanical thrombectomy (MT) in longer and unknown time windows.

Oct 12, 2018

CT Reconstruction Levels Affect Automated and Reader-Based ASPECTS Ratings in Acute Ischemic Stroke

This study investigated whether automated and reader-based ASPECTS in acute stroke patients are affected by different CT image reconstruction algorithms.

Aug 4, 2018

Clinical Utility of Electronic Alberta Stroke Program Early Computed Tomography Score Software in the ENCHANTED Trial Database

Clinical utility of electronic Alberta Stroke Program Early CT Score (e-ASPECTS), an automated system for quantifying signs of infarction, was evaluated in a large database of thrombolyzed patients with acute ischemic stroke.

May 18, 2018

e-ASPECTS Correlates with and Is Predictive of Outcome after Mechanical Thrombectomy

The e-ASPECTS software is a tool for the automated use of ASPECTS. The study aimed to analyze whether baseline e-ASPECT scores correlate with outcome after mechanical thrombectomy.

Mar 22, 2017

Mobile stroke units for prehospital thrombolysis, triage, and beyond: benefits and challenges

This Review aims to describe the mobile stroke unit (MSU) approach to improving the care of patients with acute stroke. We also discuss the risks and opportunities associated with this novel medical option.

Jan 16, 2017

First Automated Stroke Imaging Evaluation via Electronic Alberta Stroke Program Early CT Score in a Mobile Stroke Unit

The feasibility of integrating e-ASPECTS into an ambulance was examined, and the clinical integration and utility of the software in 15 consecutive cases evaluated.

Oct 11, 2016

Performance of e-ASPECTS software in comparison to that of stroke physicians on assessing CT scans of acute ischemic stroke patients

ASPECTS is an established 10-point quantitative topographic computed tomography scan score to assess early ischemic changes. We compared the performance of the e-ASPECTS software with those of stroke physicians at different professional levels.

Nov 12, 2015

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