Neuro AI Solutions

Aidoc’s next generation aiOS™ provides a full platform paired with high performing AI for comprehensive stroke, hemorrhage, and aneurysm care solutions. Our always-on AI optimizes workflows across the entire care team to elevate patient care and improve outcomes.

Book a free demo to learn how Aidoc can help your organization do the following:

  • Transform neuro workflows using AI-augmented technology
  • Review all imaging and flag suspected positive findings to help cross-specialty physicians develop timely, relevant treatment plans
  • Leverage confirmed findings from radiology reports to reduce alert fatigue for sub-acute pathologies

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Find Out Why More than 1000 Hospitals Trust Aidoc

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Neuro Use Cases

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√ Ischemic Stroke (Anterior and Posterior LVO and MeVO)
√ CTP
√ Brain Aneurysms
√ Intracranial Hemorrhages
√ C-Spine Fractures
√ Vertebral Compression Fractures
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Next Generation Stroke AI Doubles Patient Impact

√ The only healthcare AI company with FDA clearance to flag both large and medium vessel occlusions. Patients with distal or posterior occlusions now have a better chance of being flagged in a timely manner at both hub and spokes

√ Deep integration within the workflows of the entire care team with specialized solutions for radiology and specialty teams.

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Image-Based AI Orchestrator

aiOS™ automatically deploys all appropriate algorithms based on anatomy present to capture both the expected and unexpected.

 

 

 

 

Image is for illustrative purposes only. Protocol may vary in accordance with algorithm Indications for Use.

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Proven in Clinical Settings

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How Does Aidoc Work?

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Hear from Our Customers

1. Worklist Reprioritization Using Artificial Intelligence Improves Turnaround Times of Chest CT Examinations Positive for Acute Pulmonary Embolism. Brendan Harrison, MD. Presented at RSNA 2021

2. Prescreening for Intracranial Hemorrhage on CT Head Scans with an AI-Based Radiology Workflow Triage Tool: An Accuracy Study. Chodakiewitz YG et al. 2019

3. Clinical Outcome of Incidental Pulmonary Embolism Detected by Artificial Intelligence Software: A Retrospective Analysis. Presented at RNSA 2022