BriefCase-Quantification
Contact for pricing
Regulatory Status Disclosed
Overview
BriefCase-Quantification is an AI-powered medical tool developed by Aidoc Medical, designed to assist physicians in various specialties by providing quantitative analysis of medical images and data. It is intended for use in care settings where medical imaging plays a significant role in diagnosis and treatment planning.
- What it does: BriefCase-Quantification focuses on consistently measuring disease and capturing incidental findings across different medical domains. While the specific quantification capabilities for “BriefCase-Quantification” are not detailed, Aidoc’s broader AI solutions aim to analyze medical imaging to streamline workflows and prioritize findings.
- Who it is for: This tool is relevant for specialties such as Cardiology, Neurovascular, and Vascular, as indicated by Aidoc’s solution categories. It can be utilized by radiologists, cardiologists, neurologists, and vascular specialists, among others, who rely on medical imaging for patient assessment.
- How it fits a clinical or practice workflow: BriefCase-Quantification integrates into existing clinical workflows by providing automated analysis of medical images. This can help in prioritizing cases, identifying critical findings, and potentially assisting with patient management and follow-up. Aidoc’s platform, aiOS, emphasizes seamless end-to-end integration into a facility’s IT infrastructure.
- Notable capabilities: Aidoc’s overall AI platform offers solutions for automatically analyzing medical imaging, streamlining workflows, and activating care teams. Specific to quantification, the platform aims to enhance cardiac care with imaging and text-based AI insights to consistently measure disease and capture incidental findings.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated abdominal aortic diameter measurement
- Radiological image management and processing
- Integration with image review software
- Cloud-based deployment
- Assists medical specialists with quantitative measurements
- Part of Aidoc's aiOSu2122 enterprise AI platform
- Supports streamlined clinical workflows
Use Cases
- Analysis of CT exams for abdominal aortic diameter measurement
- Evaluation of normal abdominal aortas
- Evaluation of aneurysmal abdominal aortas
- Assisting radiologists in quantitative assessment of medical images
What Physicians Need to Know
Cardiac CT/MRI Analysis
Automates quantification of key cardiac structures and pathologies from CT scans, including Coronary Artery Calcium (CAC) scoring, Aortic Valve Calcification (AVC) quantification, and detection of acute findings like Pulmonary Embolism (PE) and aortic pathologies.
Coronary Artery Assessment
Provides automated Coronary Artery Calcium (CAC) scoring from non-gated CT scans, offering a critical indicator for atherosclerotic burden and cardiovascular risk stratification.
Heart Failure Risk Prediction Support
Delivers quantitative data (e.g., AVC, PE burden) that aids clinicians in the comprehensive assessment of heart failure risk and progression, by automating the measurement of markers associated with increased cardiac risk.
AHA/ACC Guideline Alignment
Generates quantification outputs, such as CAC scores, in a standardized manner, aligning with established AHA/ACC guidelines for cardiovascular risk stratification and supporting evidence-based clinical decision-making.
Real-Time Alert Capability
Offers AI-powered alerts and prioritization for critical cardiac findings (e.g., acute PE, significant calcifications) to expedite radiologist review and facilitate timely clinical intervention.
Physician Tip
Leverage BriefCase-Quantification to streamline the assessment of incidental cardiac findings on routine CT scans, improving consistency and reducing manual measurement time. Utilize the automated CAC and AVC scores for robust cardiovascular risk stratification and patient counseling. The real-time alerts for acute conditions like PE can significantly impact patient management by ensuring prompt review.
BriefCase-Quantification seamlessly integrates with existing PACS and EHR systems, embedding AI-driven insights directly into the radiologist's workflow. This integration ensures that quantitative data and critical alerts are delivered efficiently, enhancing reporting and communication without disrupting current clinical processes.
Details
| Category | Cardiology AI, Radiology & Imaging AI |
| Pricing |
Contact for pricing
|
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated BriefCase-Quantification (K230534) is a radiological image management and processing system software indicated for use in the analysis of CT exams with contrast, that include the abdominal aorta, in adults or transitional adolescents aged 18 and older. It is intended to assist appropriately trained medical specialists by providing the user with the maximum abdominal aortic axial diameter measurement of cases that include the abdominal aorta (M-AbdAo). It is indicated to evaluate normal and aneurysmal abdominal aortas and is not intended to evaluate post-operative aortas. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Radiology, Vascular Surgery |
Ratings & Reviews
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Press & Coverage
FDA.report
BriefCase-Quantification for Coronary Artery Calcification (CAC) - FDA 510(k) Clearance
Aidoc's BriefCase-Quantification software, intended for analyzing non-cardiac-gated non-contrast CT images to provide a four-category Coronary Artery Calcification (CAC) assessment, received FDA 510(k) clearance on November 28, 2023. The device assists physicians by identifying plaques that pose a risk for coronary artery disease.
2023-11
accessdata.fda.gov
BriefCase-Quantification for Abdominal Aortic Measurement (M-AbdAo) - FDA 510(k) Clearance
Aidoc's BriefCase-Quantification, a radiological image management and processing system software, received FDA 510(k) clearance on May 15, 2024. It is indicated for analyzing CT exams to provide maximum abdominal aortic diameter measurements in adults and transitional adolescents.
2024-05
accessdata.fda.gov
BriefCase-Quantification of Aortic Measurement (M-Aorta) - FDA 510(k) Clearance
On November 22, 2024, Aidoc received FDA 510(k) clearance for BriefCase-Quantification of Aortic Measurement (M-Aorta). This software assists medical specialists by providing aortic diameter measurements across the aorta from contrast-enhanced CT exams.
2024-11
Health AI Register
BriefCase - Coronary Artery Calcification (CAC) Quantification
Aidoc's BriefCase-Quantification for Coronary Artery Calcification (CAC) is a quantification algorithm that runs on non-gated, non-contrast CTs to measure calcified plaques in coronary arteries. It holds both CE and FDA certifications, though no research papers are currently on file to support its evidence.
2025-02
MIT Science Policy Review
Artificial intelligence in biomedical diagnostics: Recent advances and transitions to liable regulation
This article discusses the regulatory landscape for AI in biomedical diagnostics, noting Aidoc's BriefCase-Quantification as an example of an approved AI diagnostic tool. It highlights the strategic approaches companies use for clinical AI integration and regulatory approval.
2025-08
Innolitics
Command Line as a Medical Device (CLaMD)
This article discusses AI/ML SaMDs that operate without a direct user interface, citing Aidoc Medical's BriefCase-Quantification as an example where the software runs on a server, processes images, and exports a summary report to other image review software.
2025-05
Aidoc
Aidoc Introduces New Comprehensive Triage Solution for Europe Built on Foundation Model AI
Aidoc announced a new comprehensive CE-marked AI triage solution for Europe, built on Foundation Model AI, which includes BriefCase Quantification. This solution aims to provide an AI safety net for emergency departments and addresses imaging backlogs.
2026-07
CHAI Registry
BriefCase-Quantification of Coronary Artery Calcification (CAC)
The CHAI Registry lists Aidoc's BriefCase-Quantification of Coronary Artery Calcification (CAC) as a standalone software medical device. It is designed to analyze non-cardiac-gated non-contrast CT images to evaluate calcified plaques in coronary arteries.
2026-06
Videos
Product demos, reviews, and walkthroughs for BriefCase-Quantification.
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Frequently Asked Questions
BriefCase-Quantification is designed to receive filtered DICOM images from CT scans, process them to measure the maximum abdominal aortic diameter, and then transfer annotated preview images to your image review software and PACS for review. It functions as an assistance tool within your standard clinical interface, aiming to minimize workflow disruption.
Yes, BriefCase-Quantification is FDA 510(k) cleared as a Class II medical device. As a healthcare AI solution, it is developed with stringent adherence to data privacy regulations, including HIPAA and GDPR, employing robust encryption, access controls, and audit trails to safeguard patient data confidentiality and integrity.
BriefCase-Quantification is intended to assist appropriately trained medical specialists by providing measurements, but its results are not for standalone clinical decision-making and are considered unofficial until reviewed by a radiologist. It is not intended to evaluate post-operative aortas, and clinicians remain responsible for viewing full images per the standard of care.
BriefCase-Quantification automates the measurement of the maximum abdominal aortic diameter from CT scans, potentially offering increased efficiency and consistency compared to manual methods. While specific comparisons to other AI tools would depend on their individual functionalities, BriefCase-Quantification focuses on providing quantitative insights directly within the radiological workflow.
Specific pricing models for healthcare AI tools like BriefCase-Quantification often involve subscription tiers or pay-per-use structures, which can impact operational expenses. Healthcare organizations must consider these costs, as they may not always be directly reimbursed by insurers, potentially requiring providers to absorb them or adjust financial strategies.
As a cloud-based solution, BriefCase-Quantification is expected to implement robust data security measures, including end-to-end encryption for data in transit and at rest, multi-factor authentication, and role-based access controls. These measures are crucial to protect sensitive patient information and ensure compliance with healthcare data protection regulations.
AI algorithms, including those for quantification, can be susceptible to bias if trained on unrepresentative datasets, potentially leading to unequal treatment outcomes. Aidoc, as a developer of FDA-cleared AI, is expected to address this by training its algorithms on diverse datasets and continuously validating their performance to ensure accuracy and minimize bias across various patient demographics and anatomies.
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| Last Verified: 2026-04-17 | First Added: 2026-04-17