Rapid SDH
Overview
Rapid SDH is an AI-powered module developed by RapidAI (formerly iSchemaView) for the detection and notification of suspected hemispheric acute and chronic subdural hematoma (SDH) on non-contrast CT scans. This radiological computer-assisted triage and notification software provides critical information to clinicians in one minute or less, aiding in time-sensitive treatment decisions for trauma patients and those with hemorrhagic stroke. It boasts a high positive predictive value of 99% (93% sensitivity, 99% specificity) for SDHs greater than 1ml. Rapid SDH integrates with the Rapid mobile app, PACS, and email to send automated notifications, streamlining workflow and expediting patient care across hospital systems. It is part of RapidAI’s comprehensive hemorrhagic and trauma care AI solution.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered detection of suspected hemispheric acute and chronic subdural hematoma (SDH)
- Notifications to clinicians in one minute or less
- High positive predictive value (PPV) of 99% (93% sensitivity, 99% specificity) for SDHs >1ml
- Integration with Rapid mobile app, PACS, and email for notifications
- Part of a comprehensive hemorrhagic and trauma care AI solution (with Rapid ICH and Rapid Hyperdensity)
- Analyzes non-contrast CT scans
- Aids in streamlining decision-making and expediting patient care
- Supports identification of treatment eligibility
Use Cases
- Triage and notification of suspected subdural hematoma
- Expediting treatment decisions for traumatic brain injury and hemorrhagic stroke patients
- Workflow management for radiologists and neurocritical care teams
- Facilitating patient transfer and treatment decisions across hospital systems
- Improving patient outcomes in neurocritical care
What Physicians Need to Know
Rapid SDH provides fast and accurate detection of acute and chronic subdural hematomas on non-contrast CT scans, which can expedite diagnosis and treatment. The automated notifications via mobile app, email, and PACS can help streamline communication and decision-making among trauma teams, especially in time-sensitive situations. This tool can be used alongside other RapidAI modules like Rapid ICH and Rapid Hyperdensity for a comprehensive assessment of hemorrhagic and traumatic brain injuries.
Rapid SDH integrates with hospital PACS systems. It is part of the RapidAI platform, which offers a suite of tools for neurocritical assessment. The platform is designed for secure, vendor-agnostic integration into existing hospital IT infrastructure.
Details
| Category | Neurology AI, Radiology & Imaging AI, Triage & ER/ICU AI |
| Pricing | Contact vendor |
| Deployment | Cloud-based, On-premise |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | Emergency Medicine, Neurosurgery, Radiology |
What the Web Says
Rapid SDH by RapidAI is an AI-powered module designed for the rapid detection and notification of suspected hemispheric acute and chronic subdural hematomas (SDH) from non-contrast CT scans. It aims to streamline decision-making and expedite patient care in neurocritical care settings. The module has received FDA clearance and boasts high sensitivity and specificity rates for detecting SDH.
Overall: PositiveStrengths
- Rapid detection and notification of suspected SDH within one minute.
- High sensitivity (93%) and specificity (99%) for detecting hemispheric acute and chronic SDH >1 mL.
- Automated notifications sent via mobile app, PACS, and email to the entire trauma team, facilitating multidisciplinary collaboration.
- Leverages AI trained on hundreds of patient scans for accurate identification of subdural hemorrhage.
- Part of a comprehensive hemorrhagic and trauma care AI solution, including modules for ICH and Hyperdensity.
- Aids in faster and more informed transfer and treatment decisions for patients with traumatic brain injury or hemorrhagic stroke.
Limitations
No significant limitations found in public reviews. Consider checking vendor documentation or requesting a demo for a thorough evaluation.
Based on reviews from: mdpi.com, elifesciences.org, ntt-review.jp, who.int, nih.gov, diagnosticimaging.com, researchgate.net, auntminnie.com, appliedradiology.com, fiercebiotech.com, healthaidb.com, neuronewsinternational.com, rapidai.com, businesswire.com, hitconsultant.net, capterra.com, reddit.com, medicaldevice-network.com
Last updated: 2026-10-30
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