BriefCase-Triage
Overview
Aidoc Medical’s BriefCase-Triage is an advanced artificial intelligence solution designed to empower physicians, particularly radiologists, by streamlining workflows and enhancing diagnostic accuracy. Built on Aidoc’s proprietary aiOS™ platform and powered by the CARE™ (Clinical AI Reasoning Engine) foundation model, this tool analyzes medical imaging to detect and prioritize acute abnormalities in real-time.
The system integrates seamlessly into existing hospital infrastructure, including PACS and EHRs, providing real-time alerts and notifications for critical findings. This capability helps reduce turnaround times, alleviate emergency department crowding, and address imaging backlogs. BriefCase-Triage is designed to act as an ‘always-on’ safety net, ensuring that time-sensitive cases are surfaced earlier for prompt clinical decision-making and improved patient outcomes.
Aidoc’s comprehensive triage solution covers a wide range of acute indications across various body CT scans, including intracranial hemorrhage, pulmonary embolism, aortic dissection, and C-spine fractures. Its continuous learning model and advanced algorithms aim to significantly reduce false alerts compared to traditional single-condition solutions, fostering greater clinical trust and efficiency. The platform also facilitates enhanced communication and coordination among multidisciplinary care teams through its integrated mobile application, ensuring a connected patient journey from diagnosis to follow-up.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- AI-powered analysis of medical imaging
- Real-time alerts and notifications
- Seamless integration with existing hospital systems (PACS, EHR)
- Prioritization of critical cases
- Order-of-magnitude reduction in false alerts
- Comprehensive triage solution (multiple indications in one workflow)
- Mobile app for care coordination
- Continuous learning model
- Automated screening for unexpected findings
- Quantification algorithms
Use Cases
- Triage of acute findings in CT scans (e.g., ICH, PE, Aortic Dissection, C-spine fractures, Brain Aneurysms, Rib Fractures)
- Prioritizing emergency cases in radiology worklists
- Reducing ED crowding and imaging backlogs
- Enhancing diagnostic accuracy and consistency
- Streamlining radiology workflows and reducing turnaround times
- Facilitating care team communication and patient follow-up
What Physicians Need to Know
Utilize BriefCase-Triage for rapid prioritization of critical cases identified on CT scans, such as Aortic Dissection or incidental Pulmonary Embolism, to expedite radiologist review and patient management. Remember that BriefCase-Triage is a triage and notification tool, not a diagnostic device; final diagnostic interpretation rests with the medical specialist. Integrate the AI-generated notifications into existing workflow to enhance efficiency, but always cross-reference with full diagnostic images and other patient information.
BriefCase-Triage is designed for seamless integration into existing radiology IT infrastructure, including DICOM-compliant CT scanners, PACS, and radiology workstations. It supports workflow integration via image communication platforms, desktop applications for notifications, and can utilize APIs and HL7 for worklist prioritization. Aidoc's broader care coordination solutions, which leverage BriefCase-Triage, also demonstrate integration with Electronic Health Record (EHR) systems for comprehensive patient data access.
Details
| Category | Cardiology AI, Clinical Decision Support & Reference, Radiology & Imaging AI |
| Pricing |
Enterprise
|
| Free Trial | No |
| Deployment | Cloud |
| Mobile App | Both |
| API Available | Yes |
| Data Export | Yes |
| Languages | English |
| Training | Yes |
| Target Size | Solo to large health systems |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Cleared AI-estimated K252970 for BriefCase-Triage: CARE (Clinical AI Reasoning Engine) Multi-Triage CT Body (14 indications); additional clearances for specific algorithms (e.g., intracranial hemorrhage, pulmonary embolism, LVOs, aortic dissection, rib fractures). |
| SOC 2 | Yes AI-estimated |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Epic |
| Specialties | Cardiology, Emergency Medicine, General Surgery, Neurology, Oncology, Radiology |
Social Proof
| Customers | 1,600+ hospitals worldwide |
| Notable | Mayo ClinicCleveland Clinic (implied by general industry leadershipnot explicitly stated for BriefCase-Triage)Montefiore Nyack HospitalLifeBridge HealthYale New Haven HospitalCedars-Sinai Medical CenterUniversity of Rochester Medical CenterSheba Medical CenterWellSpan HealthEmory HealthcareLexington Medical CenterAssuta HospitalSt. Luke's |
Support & Reliability
| Training Provided | Yes |
What the Web Says
Aidoc's BriefCase-Triage is an AI-powered platform designed to assist physicians and healthcare networks in prioritizing urgent medical cases by analyzing CT images for various acute conditions. It has received numerous FDA clearances for different modules, demonstrating its efficacy in real-world clinical settings. The system aims to enhance workflow efficiency and reduce the time to notification for critical findings, ultimately speeding up patient care.
Overall: PositiveStrengths
- Significantly reduces time to notification for critical cases, such as pulmonary embolisms and large vessel occlusions.
- Offers a wide range of FDA-cleared modules for various acute pathologies, including neurovascular emergencies, cardiopulmonary crises, and traumatic injuries.
- Demonstrates high sensitivity and specificity in detecting conditions like central pulmonary embolism and intracranial hemorrhage.
- Integrates with existing image communication platforms and desktop review applications.
- Backed by multiple independent peer-reviewed studies demonstrating real-world efficacy.
- Helps reduce overlooked cases of incidental pulmonary embolisms, enhancing diagnostic accuracy.
Limitations
- Some general concerns about AI triage tools not replacing the full diagnostic process and the need for clinicians to view full images per standard of care.
- The system provides low-quality preview images for prioritization only, not for diagnostic use.
- While effective for quick identification, it may have a smaller user base compared to some other digital forensics tools, potentially limiting community support.
Based on reviews from: MedAI Verdict, X-ray Interpreter, Health AI Register, AuntMinnie, Capterra, Aidoc, Indeed.com, Reddit, G2
Last updated: 2026-07-17
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