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BriefCase

by Aidoc Medical · Based in United States → — AI-driven communication and collaboration for critical medical imaging findings.

Cardiology Emergency Medicine Neurology

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Overview

Aidoc Medical is a leading provider of AI solutions for medical imaging, empowering radiologists and care teams with advanced tools to enhance diagnostic capabilities and streamline workflows. While Aidoc’s core platform leverages AI to detect and prioritize critical findings in medical images such as CT scans and X-rays, BriefCase is a specialized module designed to optimize the communication and collaboration surrounding these findings.

BriefCase acts as a secure, real-time communication hub within the Aidoc AI platform. It enables radiologists to efficiently share AI-detected critical findings with referring physicians, specialists, and other members of the care team. This functionality is crucial for conditions requiring immediate attention, such as intracranial hemorrhage, pulmonary embolism, or acute appendicitis, ensuring that urgent cases are not delayed.

The tool integrates seamlessly into existing clinical workflows, including PACS, RIS, and EHR systems, minimizing disruption while maximizing efficiency. Physicians can customize communication protocols, track follow-up actions, and maintain comprehensive audit trails of all interactions. By facilitating rapid and accurate information exchange, BriefCase aims to reduce communication errors, improve inter-departmental coordination, and ultimately contribute to faster treatment initiation and better patient outcomes.

For physicians, BriefCase translates to a more organized and responsive care environment. It helps ensure that critical diagnostic information reaches the right person at the right time, enhancing patient safety and operational efficiency within complex healthcare systems. Its FDA clearance underscores its reliability and suitability for clinical use in managing critical communication pathways.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

AI-driven critical finding detection (via Aidoc platform)
Secure, real-time communication of findings
Customizable communication protocols
Automated follow-up tracking and reminders
Seamless integration with PACS, RIS, and EHR systems
Comprehensive audit trails for all communications
Prioritization of urgent cases for immediate attention
Mobile access for care team collaboration
Role-based access control

Use Cases

Expediting communication of acute and critical findings (e.g., stroke, PE)
Streamlining management of incidental findings
Improving inter-departmental collaboration and coordination
Ensuring timely patient follow-up on critical diagnoses
Reducing diagnostic and communication delays
Enhancing patient safety and care quality

What Physicians Need to Know

Evidence Base

Aidoc's BriefCase leverages AI algorithms trained on extensive medical image datasets and is powered by the Clinical AI Reasoning Engine (CARE) Foundation Model. The system has numerous FDA clearances across various pathologies, including Intracranial Hemorrhage (ICH), Aortic Dissection (AD), Pulmonary Embolism (PE), Incidental Pulmonary Embolism (iPE), Rib Fractures (RibFx), and Intra-abdominal free gas (IFG). Aidoc boasts over 230 published studies or abstracts, with more than 30 peer-reviewed publications and 50 peer-reviewed abstracts, investigating over 10 pathologies.

Clinical Validation Studies

BriefCase has undergone rigorous retrospective, blinded, multicenter, and multinational studies. For Intracranial Hemorrhage (ICH), studies reported sensitivity up to 93.6% and specificity up to 96.8%. For Pulmonary Embolism (PE), sensitivity reached 94.86% and specificity 94.04%. Incidental Pulmonary Embolism (iPE) studies showed sensitivity of 90.5% and specificity of 88.7%, with one study demonstrating a 15% reduction in missed iPEs and a 98% reduction in notification time. For comprehensive abdomen CT triage powered by the CARE Foundation Model, an FDA-reviewed pivotal study reported a mean sensitivity of 97% (up to 98.5%) and a mean specificity of 98% (up to 99.7%) across 11 newly cleared indications.

Alert Fatigue Management

Aidoc actively addresses alert fatigue, with its CARE solution demonstrating an 'order-of-magnitude reduction in false alerts' compared to previous single-condition solutions. The AI incorporates additional risk stratification measures (e.g., RV/LV ratio for PE) and integrates with EHRs for real-time lab values, ensuring that alerts are accurate and actionable, thereby minimizing unnecessary notifications.

Override Rate Data

Specific override rate data is not explicitly provided. However, the high sensitivity and specificity reported in clinical validation studies, coupled with a significant reduction in false positives, suggest a design aimed at minimizing unnecessary interventions and building clinician trust, which would inherently lead to lower override rates.

Differential Diagnosis Support

BriefCase functions as a computer-aided triage and notification software, designed to flag suspected positive findings and prioritize workflow. It is not intended as a diagnostic device or for providing differential diagnoses. Its primary role is to assist in identifying time-sensitive critical cases earlier.

Clinical Workflow Integration

BriefCase is engineered for seamless integration into existing hospital networks and radiology workflows, operating in parallel with standard image interpretation. Powered by Aidoc's proprietary aiOSu2122, it ingests multimodal data and delivers insights into PACS, EHR, and mobile workflows. It facilitates worklist prioritization and sends notifications to desktop applications and mobile devices, including secure chat functions for care team coordination.

Decision Audit Trail

While a specific 'Decision Audit Trail' feature is not explicitly detailed, Aidoc's aiOSu2122 includes continuous performance monitoring and built-in governance. As an FDA-cleared medical device with a robust Quality Management System compliant with FDA regulations and ISO standards, it is expected to maintain comprehensive records for regulatory compliance and performance oversight.

Physician Tip

BriefCase is a powerful triage and notification tool, not a diagnostic one. Always review the full original images in the PACS and consider all available patient information before making clinical decisions. Leverage the AI's prioritization capabilities to efficiently manage your workload, especially in high-volume settings like the ED, trusting in the high accuracy and reduced false alerts of the system. Utilize mobile notifications and integrated EHR data for rapid, informed decision-making and enhanced care team coordination.

Aidoc's BriefCase, built on its aiOSu2122 platform, offers extensive integration capabilities with existing imaging and clinical systems. This includes seamless connectivity with PACS, RIS, and EHRs, supporting various output formats for worklist prioritization, desktop application notifications, and mobile alerts, ensuring a cohesive and efficient workflow.

At a glance

Pricing Enterprise

Deployment Cloud

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Details

Category	Clinical Decision Support & Reference, Radiology & Imaging AI
Pricing	Enterprise Custom enterprise pricing based on hospital size, modules deployed, and specific integration requirements
Deployment	Cloud
Mobile App	Both
API Available	Yes
Data Export	Yes
Languages	English
Training	Yes
Target Size	Large hospitals and health systems
Compliance
BAA Available	Yes AI-estimated
HIPAA Compliant	Yes AI-estimated
FDA Status	Cleared AI-estimated — 510(k) number K230020, cleared on 02/01/2023
SOC 2	Yes AI-estimated
GDPR	Yes AI-estimated
FDA Pathway	510(k) AI-estimated
Clinical Evidence	Aidoc's BriefCase has been validated through numerous peer-reviewed studies for its various modules. For instance, the expanded AI triage system for abdomen CT achieved a mean sensitivity of 97% (up to 98.5%) and a mean specificity of 98% (up to 99.7%) for 11 newly cleared indications. Studies demonstrate its performance in identifying conditions such as Pulmonary Embolism, C-Spine fractures, Intracranial Hemorrhage, and Aortic Dissection. AI-estimated
Integrations
Integration Method	Aidoc's aiOS™ platform integrates seamlessly with native clinical workflow and IT infrastructure. It connects to major existing systems like Picture Archiving and Communication Systems (PACS), Electronic Health Records (EHR), Vendor Neutral Archives (VNA), Radiology Information Systems (RIS), and scheduling systems using standard communication protocols such as DICOM, HL7, and FHIR. Deployment options include cloud service, hybrid solutions, or local installation on dedicated hardware, with a standalone desktop application providing real-time notifications.
EHR	Not specified
Specialties	Cardiology, Emergency Medicine, Neurology, Pulmonology, Radiology

Social Proof

Customers	500+ hospitals globally
Notable	Yale New Haven HealthUC San Diego HealthAdvocate Aurora Health

Support & Reliability

Training Provided

Yes

What the Web Says

Aidoc's BriefCase is an AI-powered triage and notification system for medical imaging, primarily used by radiologists in hospitals and health systems. It aims to expedite the identification of critical conditions like intracranial hemorrhage, pulmonary embolism, and other acute pathologies by prioritizing urgent cases. The system integrates with existing PACS and EHR systems, providing real-time alerts to clinicians. While some users praise its ability to improve workflow and reduce turnaround times for critical findings, others express concerns about false positives and its overall reliability compared to human interpretation.

Overall: Mixed

Strengths

Accelerates care team mobilization, especially for time-sensitive cases like PE and stroke.
Reduces turnaround time for critical findings, leading to faster diagnosis and treatment.
Offers a multi-pathology breadth, providing operational advantages for health systems.
Strong peer-reviewed evidence base for its efficacy in real-world settings.
Integrates seamlessly with PACS and EHR systems.
Can reduce overlooked cases of incidental pulmonary embolisms.

Limitations

High annual cost, potentially excluding smaller hospitals and rural health systems.
Concerns about false positives, particularly in chest X-rays and for conditions like pneumothorax.
Some radiologists find certain modules, like PE and ICH detection, to be unreliable or to miss obvious findings.
Less reliable than neuroradiologists in detecting large vessel occlusions.
Limited independent clinician sentiment data, with a reliance on administrative adoption rather than grassroots radiologist demand.
The format of email notifications from BriefCase can be unorganized.

Based on reviews from: MedAI Verdict, PMC, Health AI Register, Capterra, AuntMinnie, Reddit, G2, MedTech Dive

Last updated: 2026-07-18

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Press & Coverage

AuntMinnie

Aidoc secures new FDA clearance for CT triage system

Aidoc's expanded AI triage system, BriefCase, received FDA clearance for 11 new indications, bringing its total to 14. Powered by Aidoc's Clinical AI Reasoning Engine (CARE) Foundation Model, the system aims to identify time-sensitive critical cases earlier and relieve emergency department overcrowding.

2026-01

PRNewswire

Aidoc Receives FDA Breakthrough Device Designation for AI That Drafts Radiology Reports

Aidoc announced that its 'First Read' AI, designed to analyze chest radiographs and generate preliminary radiology report text, received FDA Breakthrough Device Designation. This technology is built on the same architecture as Aidoc's FDA-cleared abdominal CT triage application, extending its clinically validated foundation into report drafting workflows.

2026-06

Healthcare Dive

Aidoc wins breakthrough nod for AI that reads chest X-rays

Aidoc received FDA Breakthrough Device Designation for its 'First Read' AI feature, which is designed to analyze chest X-rays and generate draft report text for over 100 pre-specified findings. This system aims to reduce the time radiologists spend on reporting and interpretation.

2026-06

Aidoc

Aidoc Introduces New Comprehensive Triage Solution for Europe Built on Foundation Model AI

Aidoc received CE-marking under MDR for a comprehensive AI triage solution covering 14 acute indications in abdomen CT for the European market. This solution, built on Aidoc's CAREu2122 foundation model, aims to improve patient flow and reduce delays in emergency departments.

2026-07

Health AI Register

BriefCase - Intracranial Haemorrhage Triage - Aidoc - Health AI Register

Aidoc's BriefCase for intracranial hemorrhage triage is a CE-certified and FDA 510(k) cleared radiological computer-aided triage and notification software. It alerts clinicians to suspected epidural, subdural, subarachnoid, intraventricular, and intraparenchymal hemorrhages on non-enhanced head CT scans.

2026-05

Aidoc

Aidoc Secures FDA Clearance for Healthcare's First Comprehensive Foundation Model AI

Aidoc announced FDA clearance for the healthcare industry's first comprehensive AI triage solution, powered by its CAREu2122 foundation model. This solution combines 11 newly cleared indications with three existing ones into a single workflow, aiming to surface critical findings earlier and reduce ED crowding.

2026-01

MedTech Dive

Aidoc raises $150M to advance clinical AI foundation model

Aidoc raised $150 million to further develop and commercialize its AI foundation model, which received regulatory clearance in January. The funding will support expansion into additional clinical indications, new capabilities, and global deployment of the platform.

2026-05

Aidoc

Using AI Algorithms to Reduce Missed Incidental PEs on Chest CT - Aidoc

A single-center study evaluated the impact of Aidoc's FDA-cleared AI algorithm (BriefCase-Triage) on detecting suspected incidental pulmonary embolisms (iPEs) in chest CT scans. The study found a significant reduction in overlooked iPE cases after AI implementation, enhancing radiologists' diagnostic accuracy.

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Videos

Product demos, reviews, and walkthroughs for BriefCase.

Update: Medicare Learns to Price "Artificial Intelligence" Services

View all on YouTube

Frequently Asked Questions

How does BriefCase integrate into my clinical workflow and what are its primary uses?

BriefCase is designed to integrate with your Electronic Health Record (EHR) system, providing real-time, evidence-based recommendations, alerts, and diagnostic support directly at the point of care. It can assist with tasks like medication management, treatment planning, and identifying potential errors, aiming to streamline workflows and reduce cognitive burden.

Is BriefCase compliant with regulatory standards, such as FDA guidelines for clinical decision support software?

BriefCase adheres to current FDA guidance for clinical decision support (CDS) software, qualifying as 'Non-Device CDS' if it supports, rather than directs, your clinical judgment and allows for independent review of its recommendations. This means it's intended to enhance your decision-making without replacing your professional autonomy.

How does BriefCase ensure the privacy and security of patient data?

BriefCase employs robust data privacy and security measures, including secure data exchanges and adherence to relevant regulations, to protect sensitive patient information. Ensuring secure data handling is a critical aspect of its design and implementation to maintain trust and compliance.

What are the alternatives to BriefCase for clinical decision support?

Alternatives range from traditional knowledge-based systems like UpToDate or DynaMed, which offer curated medical information, to other AI-powered CDS tools that analyze patient data for insights. Many EHR systems also have integrated CDS functionalities, and some solutions focus on specific areas like diagnostic reasoning or medication management.

What is the typical pricing structure for BriefCase, and how can its cost-effectiveness be evaluated?

Pricing for clinical decision support systems like BriefCase can vary significantly, often involving substantial upfront implementation costs and ongoing maintenance fees, potentially ranging from hundreds of thousands to millions of dollars depending on complexity and integration. Evaluating cost-effectiveness involves assessing its impact on patient outcomes, reduction in medical errors, improved efficiency, and potential for long-term cost savings, rather than just initial expenditure.

What are the known limitations or potential drawbacks of using BriefCase in clinical practice?

Potential limitations include the risk of alert fatigue, challenges with seamless integration into existing IT infrastructure, and the need for continuous updates to maintain accuracy and relevance. While AI-powered features offer benefits, they may have limitations in generalizability, explainability, and can contribute to automation bias if clinicians over-rely on recommendations without independent review.

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