AI Tool Accurately Assesses Ischemic Stroke Damage
|
By MedImaging International staff writers Posted on 04 Feb 2019 |

Image: The e-ASPECTS output as viewed on a mobile device (Photo courtesy of Brainomix).
An artificial intelligence (AI) imaging tool supports fast and consistent interpretation of non-contrast computerized tomography (CT) scan.
The Brainomix (Oxford, United Kingdom) e-ASPECTS tool is intended to assist clinicians in brain CT scan interpretation following an ischemic stroke by quantifying the volume of ischemia and grading it with the Alberta Stroke Program Early CT Score (ASPECTS) 10-point quantitative score. By reducing inter-reader variability in interpretation, e-ASPECTS enables a more standardized stroke diagnosis and facilitates fast, consistent treatment decisions, irrespective of physician experience or expertise.
Physicians can review e-ASPECTS results anywhere via picture archiving and communication systems (PACS), through the e-ASPECTS web browser user interface, or by viewing images sent to a clinician's smartphone via email. The wide availability ensures rapid sharing throughout the stroke team and allows faster, more informed decision-making. For users carrying out clinical research, the unique ischemia volume measurement feature in e-ASPECTS provides a fully automated estimate of the ischemic core size on non-contrast CT, even for hyper-acute cases.
A new study, published on October 27, 2018, in the Journal of NeuroInterventional Surgery, suggests that it may be reasonable to select patients for reperfusion therapy in hospitals without access to advanced imaging using the e-ASPECTS tool in combination with clinical criteria, and that e-ASPECTS is a reliable and valuable tool that can save valuable time by providing objective identification of ischemic injury, thus empowering clinicians in selecting patients suitable for mechanical thrombectomy, thrombolysis, endovascular treatment, or for decompressive craniotomy.
“This important study highlights the potential of the Brainomix e-ASPECTS support tool to simplify the selection of stroke patients for thrombectomy presenting in the late time window,” said George Harston, MD, chief medical and innovation officer of Brainomix and a consultant physician at Oxford University Hospitals. “The findings suggest that access to thrombectomy may be broadened to a wider population of patients, and without need for time consuming advanced imaging, which is often not readily available even in larger centers.”
Timely restoration of cerebral blood flow using reperfusion therapy is the most effective maneuver for salvaging ischemic brain tissue that is not already infarcted. For eligible patients with acute ischemic stroke, intravenous alteplase is first-line therapy, provided that treatment is initiated within 4.5 hours of onset. Mechanical thrombectomy is indicated for patients with acute ischemic stroke due to a large artery occlusion in the anterior circulation who can be treated within 24 hours of the time last known to be well, regardless of whether they receive intravenous alteplase for the same ischemic stroke event.
Related Links:
Brainomix
The Brainomix (Oxford, United Kingdom) e-ASPECTS tool is intended to assist clinicians in brain CT scan interpretation following an ischemic stroke by quantifying the volume of ischemia and grading it with the Alberta Stroke Program Early CT Score (ASPECTS) 10-point quantitative score. By reducing inter-reader variability in interpretation, e-ASPECTS enables a more standardized stroke diagnosis and facilitates fast, consistent treatment decisions, irrespective of physician experience or expertise.
Physicians can review e-ASPECTS results anywhere via picture archiving and communication systems (PACS), through the e-ASPECTS web browser user interface, or by viewing images sent to a clinician's smartphone via email. The wide availability ensures rapid sharing throughout the stroke team and allows faster, more informed decision-making. For users carrying out clinical research, the unique ischemia volume measurement feature in e-ASPECTS provides a fully automated estimate of the ischemic core size on non-contrast CT, even for hyper-acute cases.
A new study, published on October 27, 2018, in the Journal of NeuroInterventional Surgery, suggests that it may be reasonable to select patients for reperfusion therapy in hospitals without access to advanced imaging using the e-ASPECTS tool in combination with clinical criteria, and that e-ASPECTS is a reliable and valuable tool that can save valuable time by providing objective identification of ischemic injury, thus empowering clinicians in selecting patients suitable for mechanical thrombectomy, thrombolysis, endovascular treatment, or for decompressive craniotomy.
“This important study highlights the potential of the Brainomix e-ASPECTS support tool to simplify the selection of stroke patients for thrombectomy presenting in the late time window,” said George Harston, MD, chief medical and innovation officer of Brainomix and a consultant physician at Oxford University Hospitals. “The findings suggest that access to thrombectomy may be broadened to a wider population of patients, and without need for time consuming advanced imaging, which is often not readily available even in larger centers.”
Timely restoration of cerebral blood flow using reperfusion therapy is the most effective maneuver for salvaging ischemic brain tissue that is not already infarcted. For eligible patients with acute ischemic stroke, intravenous alteplase is first-line therapy, provided that treatment is initiated within 4.5 hours of onset. Mechanical thrombectomy is indicated for patients with acute ischemic stroke due to a large artery occlusion in the anterior circulation who can be treated within 24 hours of the time last known to be well, regardless of whether they receive intravenous alteplase for the same ischemic stroke event.
Related Links:
Brainomix
Latest Imaging IT News
- Ambient AI Reporting Platform Streamlines Radiology Reporting
- Interactive AI Tool Supports Explainable Lung Nodule Assessment
- Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
- New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
- Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
- AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process
- Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images
- Image Management Platform Streamlines Treatment Plans
- AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval
- AI Technology for Detecting Breast Cancer Receives CE Mark Approval
Channels
Radiography
view channel
AI Tool Predicts Five-Year Breast Cancer Risk from Mammograms
Breast cancer risk assessment during routine screening is difficult because many women who develop the disease have no known genetic mutations or family history. Static risk tools provide limited discrimination... Read more
AI Mammography Tools Detect Early Breast Cancer Signs Years Before Diagnosis
Breast cancer screening aims to detect tumors before symptoms develop, but subtle mammographic changes can appear years before diagnosis and may be missed during routine reads. Delayed detection can lead... Read moreMRI
view channel
AI Reconstruction Tool Speeds Dynamic Breast MRI and Improves Cancer Detection
Breast cancer affects about 2.3 million people each year, creating sustained demand for precise imaging. Dynamic magnetic resonance imaging (MRI) is highly sensitive, yet slow acquisitions hinder real-time... Read more
International Study Assesses AI for Prostate Cancer MRI Interpretation
Prostate cancer is a leading cause of cancer morbidity in men, and accurate early diagnosis hinges on expert interpretation of prostate magnetic resonance imaging (MRI). Rapid adoption of MRI-first pathways... Read moreUltrasound
view channel
Portable 3D Ultrasound System Enables Reproducible Breast Cancer Monitoring
Breast cancer can develop between annual mammograms, and these interval cancers account for 20% to 30% of cases and tend to be more aggressive. The challenge is pronounced in people with dense breast tissue.... Read more
AI Ultrasound Platform Receives CE Mark for Prenatal Screening
Prenatal ultrasound is central to fetal anomaly screening, yet it remains one of the most technically demanding examinations in routine care. Because both image acquisition and interpretation are highly... Read moreNuclear Medicine
view channelNew PET Tracer Detects DVT and Pulmonary Embolism in One Scan
Deep vein thrombosis is the formation of clots in deep leg veins that can migrate to the lungs as pulmonary embolism. Rapid confirmation across both regions often requires multiple tests and can delay treatment.... Read more
Targeted PET Platform Guides Osteosarcoma Resection and Margin Verification
Osteosarcoma, an aggressive primary bone cancer that mainly affects children and adolescents, demands wide excision to prevent local recurrence. Surgeons must achieve negative margins while preserving... Read moreImaging IT
view channel
Ambient AI Reporting Platform Streamlines Radiology Reporting
Radiology departments face growing imaging volumes and staffing shortages, creating reporting bottlenecks and pressure to maintain turnaround times. Conventional dictation tools document findings after... Read more
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read moreIndustry News
view channel
GE HealthCare Showcases AI-Enabled Nuclear Medicine Portfolio at SNMMI 2026
Nuclear medicine is expanding rapidly as health systems adopt theranostics and broaden access to radiopharmaceuticals, increasing demand for scalable operations and consistent diagnostic confidence.... Read more
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







