HALO
Overview
Nico.Lab B.V.’s HALO is an AI-powered, cloud-based clinical support tool designed for rapid analysis of CT angiograms of the brain. It identifies imaging patterns suggestive of intracranial large vessel occlusion (LVO) and intracerebral hemorrhage (ICH) in patients suspected of stroke. HALO functions as a notification-only system, alerting medical specialists such as neurologists, radiologists, and emergency department physicians to suspected findings in parallel to the standard of care workflow. It is not a physician directory tool, but rather a diagnostic aid to facilitate timely evaluation and improve stroke care outcomes. HALO’s output is intended to support, not replace, primary diagnosis or clinical decisions by medical specialists. It is part of Nico.Lab’s broader StrokeViewer platform.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered Large Vessel Occlusion (LVO) detection
- Intracerebral Hemorrhage (ICH) detection and volume quantification
- Cloud-based image processing and analysis
- Automated notifications to medical specialists
- Remote review via compatible DICOM web viewer
- Facilitates evaluation of brain vasculature on CT angiograms
- Triage function for stroke patients
- DICOM / PACS integration
- Mobile diagnostic image viewing
- Telemedicine collaboration tools
Use Cases
- Rapid diagnosis of acute ischemic stroke (LVO)
- Detection and quantification of intracerebral hemorrhage
- Accelerated triaging of stroke patients
- Improving time-to-treatment in stroke care
- Clinical decision support for stroke specialists
- Remote image review and collaboration
What Physicians Need to Know
Nicolab's StrokeViewer, an AI-driven, cloud-based platform, significantly enhances stroke care by providing rapid and accurate analysis of CT and MRI scans for ischemic or hemorrhagic stroke. The platform's LVO Triaging algorithm and CT Perfusion module are FDA-cleared, offering high sensitivity and specificity for detecting large vessel occlusions and assessing brain tissue viability. The mobile notification system and DICOM viewer allow for quick access to critical information and AI-processed images on the go, facilitating faster decision-making and improved communication among stroke teams. This can lead to reduced time to treatment and better patient outcomes. While the platform excels in stroke diagnosis and workflow optimization, information regarding EEG interpretation, seizure detection, and neurodegenerative disease screening for this specific product is not available in the provided data.
Nicolab's StrokeViewer is designed for seamless integration into existing healthcare workflows, supporting both MR and CT perfusion imaging without requiring hospitals to change their current processes. It integrates with systems hospitals already use, providing longitudinal trends, alert history, and adaptive baselines. The platform offers HL7 v2 and FHIR R4 integration with EHRs, configurable per contract, and supports SSO via SAML or OIDC. It also allows for secure storage and aggregation of test results for telehealth solutions and outbreak monitoring. The system enables sharing of critical patient information and images across stroke networks, with HIPAA-compliant chat and screen-sharing features. Nicolab partners with various organizations, including Royal Philips, to solve critical bottlenecks in stroke treatment and optimize stroke workflows. The platform is cloud-based, allowing for remote configuration and updates.
Details
| Category | Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Unknown |
| Deployment | Cloud-based |
| Mobile App | 1 |
| Compliance | |
| BAA Available | Unknown |
| HIPAA Compliant | Unknown |
| FDA Status | Unknown |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurology, Radiology |
What the Web Says
Nicolab's HALO, specifically StrokeViewer, is an AI-powered solution designed to streamline emergency stroke workflows by connecting physicians and providing them with vital patient information and AI-analyzed scans for faster and more accurate diagnoses. The StrokeViewer LVO algorithm, which detects large vessel occlusions, received FDA approval in 2020 based on its performance in a clinical study. The company emphasizes its foundation in clinical research and its commitment to improving stroke patient outcomes.
Overall: PositiveStrengths
- Streamlines emergency workflows and communication among medical specialists.
- Provides AI-analyzed patient scans and centralized information for faster diagnosis and treatment decisions.
- StrokeViewer LVO algorithm has FDA approval and demonstrated high accuracy in detecting large vessel occlusions.
- Can be accessed via smartphones, allowing physicians to inspect CT scans remotely.
- Aims to reduce time from hospital arrival to treatment, potentially leading to reduced patient disability.
- Built with security credentials, compliance frameworks (SOC 2 Type II, ISO 27001, GDPR), and configurability for healthcare environments.
Limitations
- Some reviews for similarly named products mention occasional system slowness or crashes.
- One review for a similarly named product noted that the calendar feature was slow and not fit for purpose.
- Difficulty determining what different users can see if agent security is a concern (for a similarly named product).
- Project management module for a similarly named product was considered virtually useless, functioning more as a collection of service tickets.
Based on reviews from: nicolab.com, neurologylive.com, usehalo.com, capterra.com
Last updated: 2026-10-31
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