/

Aidoc

  • What it is:Aidoc is an Israeli company developing FDA-cleared clinical AI solutions for radiology triage and notification of acute conditions like stroke and pulmonary embolism across 1,600+ hospitals.
  • Best for:Large health systems (500+ beds), Multi-specialty hospitals, High-volume radiology departments
  • Pricing:Starting from $5.00 per 12 months per hospital site
  • Rating:88/100Very Good
  • Expert's conclusion:Aidoc is positioned as the enterprise-standard for deploying Clinical AI to support hospital-wide image interpretation and management. Aidoc's product portfolio is best suited to large health systems that are prepared to implement and deploy a comprehensive radiology triage strategy at scale.
Visit website
Reviewed byMaxim Manylov·Web3 Engineer & Serial Founder

What Is Aidoc and What Does It Do?

Aidoc is a clinical artificial intelligence (AI) company founded in 2016 that uses AI technology to enhance the decision making of healthcare providers, streamline work flows and improve patient outcomes through advanced imaging analysis and care coordination. The company's technology includes an always on AI platform called aios(tm), that aggregates medical data, supports multiple algorithms, and integrates with existing health systems. Aidoc is used by major health systems globally for its solutions in radiology, cardiology, vascular care and oncology.

Active
📍Israel
📅Founded 2016
🏢Private
TARGET SEGMENTS
HospitalsHealth SystemsRadiology DepartmentsCardiology DepartmentsEnterprise Healthcare

What Are Aidoc's Key Business Metrics?

📊
Not specified (45M+ annually)
Patients Analyzed Monthly
📊
150+
Health Systems Served
📊
900+
Medical Centers
📊
18
FDA Clearances
📊
$370M
Total Funding
📊
75% of patients in health systems
Patient Coverage
Regulated By
FDA(USA)

How Credible and Trustworthy Is Aidoc?

88/100
Excellent

Aidoc has demonstrated strong credibility through extensive clearances from the food & drug administration (FDA), widespread adoption across major health systems, significant funding from top investors, and proven clinical impact through real-world deployments.

BREAKDOWN
Product Maturity92/100
Company Stability90/100
Security & Compliance95/100
User Reviews80/100
Transparency85/100
Support Quality88/100
TRUST SIGNALS
18 FDA-cleared algorithms - highest among clinical AI companiesDeployed in 900+ medical centers and 150+ health systemsUsed by leading systems including Mount Sinai, Yale New Haven, Northwell Health$370M total funding from General Catalyst, Nvidia, Square PegStrategic partnerships with AWS and Nvidia69% of customers run third-party AI models on aiOS platform

What is the history of Aidoc and its key milestones?

2016

Company Founded

Aidoc was founded in Israel to develop clinical AI solutions for radiology and critical care pathways.

2023

$150M Funding Round

The company has raised $150 million led by general catalyst and Square Peg, which also included participation from Nvidia Ventures and major u.s. Health systems.

2023

CARE Foundation Model

Aidoc launched a clinical AI reasoning engine (care), that is powering FDA-cleared applications for faster development of new indications.

2024

Enterprise Rollouts

The company announced system-wide implementations at Advocate Health and Sutter Health.

2024

18th FDA Clearance

Aidoc achieved the highest number of FDA clearances among clinical AI companies.

What Are the Key Features of Aidoc?

📊
aiOS™ Enterprise Platform
The company developed a unified healthcare AI operating system that hosts Aidoc and third party algorithms, along with governance, monitoring, and seamless it integration.
✨
CARE Foundation Model
The clinical AI reasoning engine powering FDA-cleared applications can be used for new clinical indications 20 times faster than traditional methods.
✨
Real-Time Critical Findings Detection
The company uses ct scans to identify 75 percent of common acute pathologies, while providing immediate care team notifications and priority triage.
✨
Multi-Specialty Coverage
The company offers solutions for stroke/hemorrhage, cardiac care, vascular diseases (pe/dvt) and expanding into oncology.
📊
Automated Workflow Optimization
The company's technology Streamlines radiology workflows, prioritizes urgent cases, facilitates follow-up and provides clinical context from an electronic health record (EHR).
💬
Open Ecosystem Support
The company indicates that 69 percent of customers are running non-Aidoc models, therefore, the company's solution allows for seamless integration of multiple vendor AI solutions.

What Technology Stack and Infrastructure Does Aidoc Use?

Infrastructure

Cloud-based enterprise platform with AWS collaboration

Technologies

AI/ML AlgorithmsComputer VisionMedical Imaging Processing

Integrations

EHR SystemsPACS/RISHospital IT InfrastructureThird-party AI Solutions

AI/ML Capabilities

Proprietary CARE Clinical AI Reasoning Engine foundation model with high-performance computing via Nvidia partnership; supports real-time inference across 20+ clinical conditions

Based on company announcements and technical partnerships (AWS, Nvidia)

What Are the Best Use Cases for Aidoc?

Radiology Departments
Uses CT scan data to identify 75% of critical findings that are indicative of common acute conditions; uses priority-based algorithms to identify immediate cases requiring medical attention and automatically sends alerts to healthcare providers to accelerate diagnoses.
Large Health Systems
Aiding in the large-scale implementation of the enterprise-wide aiOS platform, allows for governance of multiple AI platforms in use, real-time monitoring of each platform’s performance, and provides a platform wide ROI of $XM annually in net contributions.
Stroke/Neurovascular Teams
The combination of high performing algorithms with the use of care coordination tools, sends real-time notifications with clinical context from EHRs for rapid treatment initiation.
Cardiology Departments
Measures cardiac disease using imaging and text-based AI insights, and captures incidental findings in a consistent manner across all cases.
Vascular Care Teams
Provides centralized management of aortic diseases, pulmonary embolisms, DVTs, and IVC filter usage, utilizing streamlined work flows and enhanced care coordination.
NOT FORSmall Community Hospitals
Requires significant IT and clinical resources to deploy an enterprise grade platform, which is generally beyond the capabilities of smaller facilities.
NOT FORPrimary Care Clinics
Focuses on acute care and hospital-based imaging analysis and does not focus on ambulatory or primary care settings.

How Much Does Aidoc Cost and What Plans Are Available?

Pricing information with service tiers, costs, and details
☐Service$CostℹDetails🔗Source
Clinical AI Starter$5.00 per 12 months per hospital siteStarting price for minimum solution selected, per scan per Aidoc AI algorithm for each hospital siteAWS Marketplace
Enterprise ContractCustom quote based on duration and termsSpecified quantity of use for contract duration, additional AWS infrastructure costs may applyAWS Marketplace
Clinical AI Starter$5.00 per 12 months per hospital site
Starting price for minimum solution selected, per scan per Aidoc AI algorithm for each hospital site
AWS Marketplace
Enterprise ContractCustom quote based on duration and terms
Specified quantity of use for contract duration, additional AWS infrastructure costs may apply
AWS Marketplace

How Does Aidoc Compare to Competitors?

FeatureAidocViz.aiRapidAIQuantib
Core FunctionalityMulti-specialty imaging AI (neuro, chest, vascular, cardiac)Stroke detection & workflowStroke & neurovascularMSK & neuro imaging
Pricing (starting price)$5/site/12mo (AWS)Custom enterpriseCustom enterprisePer study subscription
Free Tier AvailabilityNoNoNoNo
Enterprise Features (SSO, audit logs)Yes (seamless IT integration)YesYesPartial
API AvailabilityPlatform integration (EHR/PACS)YesYesLimited
Integration CountDeep EHR, PACS, RIS, SchedulingEHR, PACSEHR, PACSPACS-focused
Support Options24/7 automated monitoringEnterprise supportEnterprise supportStandard support
Security CertificationsCompliant with healthcare regsFDA, HIPAAFDA, HIPAAFDA, CE
Core Functionality
AidocMulti-specialty imaging AI (neuro, chest, vascular, cardiac)
Viz.aiStroke detection & workflow
RapidAIStroke & neurovascular
QuantibMSK & neuro imaging
Pricing (starting price)
Aidoc$5/site/12mo (AWS)
Viz.aiCustom enterprise
RapidAICustom enterprise
QuantibPer study subscription
Free Tier Availability
AidocNo
Viz.aiNo
RapidAINo
QuantibNo
Enterprise Features (SSO, audit logs)
AidocYes (seamless IT integration)
Viz.aiYes
RapidAIYes
QuantibPartial
API Availability
AidocPlatform integration (EHR/PACS)
Viz.aiYes
RapidAIYes
QuantibLimited
Integration Count
AidocDeep EHR, PACS, RIS, Scheduling
Viz.aiEHR, PACS
RapidAIEHR, PACS
QuantibPACS-focused
Support Options
Aidoc24/7 automated monitoring
Viz.aiEnterprise support
RapidAIEnterprise support
QuantibStandard support
Security Certifications
AidocCompliant with healthcare regs
Viz.aiFDA, HIPAA
RapidAIFDA, HIPAA
QuantibFDA, CE

How Does Aidoc Compare to Competitors?

vs Viz.ai

While both companies offer a variety of specialties for use in neuro, chest, vascular, and cardiac applications, Viz.ai focuses primarily on stroke-based workflows and Aidoc offers a broader range of multi-specialty applications including neurovascular and has deployed its platform at 1,600+ hospitals compared to Viz.ai’s focus on stroke.

Aidoc for large-scale healthcare system deployments; Viz.ai for optimization of stroke centers.

vs RapidAI

Both companies offer neurovascular AI, however Aidoc’s aiOS platform provides greater coverage of disease types and seamless departmental coordination in addition to greater scalable deployment of the platform. RapidAI has greater strength in perfusion imaging however Aidoc has the larger user base.

Aidoc for enterprise-level AI orchestration; RapidAI for advanced stroke analysis.

vs Quantib

Aidoc offers complete integration into the clinical workflow, whereas Quantib offers quantitative image analysis. Aidoc’s always on monitoring capability provides the operational benefit over Quantib’s analysis focused approach.

Aidoc for transforming workflows; Quantib for precision measurement.

vs GE HealthCare Edison

Aidoc is an independent platform, versus GE’s OEM integrated AI offering. Aidoc can be deployed as a vendor neutral solution to 1,000+ centers, versus GE’s hardware dependent offerings.

Aidoc for multi-vendor environments; GE for integrated suites of imaging.

What are the strengths and limitations of Aidoc?

Pros

  • Large-scale deployment — Aidoc is deployed live at 1,600+ hospitals and has demonstrated a proven ROI.
  • Integration into existing workflows — Aidoc integrates seamlessly with all EHR/PACS/RIS systems.
  • Coverage across specialties — Aidoc covers 75% of patients across all neurology, cardiology, vascular, and chest radiology.
  • Always on automation — 24/7 real-time monitoring by Aidoc without need for clinician input.
  • Performance validation — 220+ peer-reviewed studies demonstrate the accuracy of Aidoc's algorithms and their clinical implications.
  • Compliance — All of Aidoc’s algorithms are FDA cleared and CE marked, as well as compliant with all applicable security standards.
  • Platform-based approach — The aiOS (artificial intelligence operating system) from Aidoc allows for coordination of multiple algorithms versus relying on a single point solution.

Cons

  • Enterprise pricing only — No pricing options available for individuals or small practices.
  • Must have custom contract — No transparent self-service pricing options available.
  • Hospital-focused — Less suited to outpatient clinics.
  • Complexity of implementation — Requires significant investment in IT infrastructure to implement.
  • Vendor dependence — Algorithms specific to the vendor may limit ability to integrate new vendors.
  • Pricing information publicly unavailable — Contact Sales for actual costs.
  • Requires hardware integration — Optimized for use in high volume PACS environments.

Who Is Aidoc Best For?

Best For

  • Large health systems (500+ beds) — Scalable across facilities — Proven ROI in 1,600+ hospitals and scalable for additional facilities.
  • Multi-specialty hospitals — Patient coverage — 75% patient coverage across all neurology, cardiology, vascular, and chest radiology.
  • High-volume radiology departments — Monitoring capabilities — Real time prioritization of high volume scans by always on monitoring capabilities of Aidoc.
  • Facilities with complex IT stacks — Deep integration — Deep integration with all EHR/PACS/RIS/scheduling systems.
  • Hospitals prioritizing workflow efficiency — Care team coordination — Care teams can be coordinated across different departments using the aiOS platform from Aidoc.

Not Suitable For

  • Small clinics and outpatient centers — Not cost effective — Enterprise pricing and scalability not cost effective for low volume imaging. Consider a stand-alone imaging AI tool for low volume imaging.
  • Solo radiology practices — No tiered pricing options available; hospitals need to have large-scale infrastructure to accommodate this AI service. Look at per study pricing models for AI services.
  • Budget-constrained facilities — Enterprise agreements are custom-made, no public pricing is available. Consider using open source models for your needs.
  • Non-radiology focused organizations — This is a platform that is focused on image studies, but there are many other areas of clinical practice where you can use AI.

Are There Usage Limits or Geographic Restrictions for Aidoc?

Pricing Model
Per hospital site, per algorithm, 12-month contracts minimum
Deployment Scope
Hospital systems only; not available for individual practices
Infrastructure Requirements
Requires PACS, RIS, EHR integration
Availability
SaaS deployed on AWS; additional infrastructure costs apply
Contract Terms
Custom duration/terms; access expires if not renewed
Patient Coverage
Optimized for 75% coverage via imaging studies
Geographic Availability
FDA-cleared (US), CE-marked (EU), global hospital deployment
Compliance
Healthcare security/privacy regulations; specifics per contract

Is Aidoc Secure and Compliant?

Healthcare Regulatory ComplianceCompliant with security and privacy regulations/standards, live in 1,600+ hospitals
FDA ClearanceFDA-cleared algorithms for clinical use in medical imaging analysis
CE MarkingEuropean regulatory approval for medical device software
AWS Infrastructure SecurityDeployed as SaaS on AWS with enterprise-grade cloud security
Data Privacy StandardsPurpose-built for healthcare data handling and patient privacy
Workflow Integration SecuritySeamless integration maintains native system security protocols

What Customer Support Options Does Aidoc Offer?

Channels
Available through contact form on websiteBusiness hours for enterprise customers
Hours
Business hours, 24/7 monitoring for AI alerts
Response Time
Priority response for critical clinical issues via aiOS platform
Satisfaction
Not publicly available; positive mentions in customer case studies
Specialized
Dedicated support for health systems and radiology teams
Business Tier
Enterprise-wide deployments with customized support SLAs

What APIs and Integrations Does Aidoc Support?

API Type
REST APIs via aiOS™ enterprise platform for workflow integration
Authentication
OAuth, API keys with health system IT integration
Webhooks
Real-time notifications for critical findings and triage alerts
SDKs
Seamless integration with PACS, RIS, EMR systems; AWS and Nvidia partnerships
Documentation
Comprehensive developer resources for aiOS™ platform deployment
Sandbox
Testing environments for algorithm validation in hospital workflows
SLA
Enterprise-grade with real-time performance monitoring and 99.9% uptime
Rate Limits
Scalable for high-volume imaging centers (100M+ cases analyzed)
Use Cases
Triage prioritization, critical finding notifications, multi-algorithm orchestration

What Are Common Questions About Aidoc?

Aidoc’s aiOS™ platform has a background running AI continuously scanning medical images (CT scans) and identifying serious conditions (intracranial hemorrhage, pulmonary embolism etc.) and it will automatically prioritize serious cases for radiologists and notify all caregivers immediately. The platform identifies 75% of acute pathologies.

Aidoc has been cleared by the FDA 18 times more than any other Clinical AI Company for its products and was recently granted clearance for its CARE™ foundation model which covers 11 indications of abdominal CT studies and has a 97% sensitivity rate. Aidoc was also designated as a Breakthrough Device by the FDA for its multi-triage solution.

Because Aidoc is a platform and not a single solution, it allows multiple algorithms (including Aidoc’s and those of our partners) to be run across various specialties giving us the ability to cover 75% of patients and reducing false positives by orders of magnitude and allowing for faster development of new indications.

Yes, Aidoc has built-in integration into the existing IT systems used by hospitals and we maintain the highest level of security with enterprise grade security standards. Our CARE Foundation Model has data normalization, governance and continuous performance monitoring to ensure reliable and compliant clinical outcomes at over 1,600 medical centers and we are HIPAA compliant.

We integrate seamlessly with PACS, RIS and EMR systems and do so without making any changes to the underlying infrastructure. We support both Aidoc and third party algorithms on aiOS and we have strategic partnerships with companies like AWS for scale and Nvidia for AI deployment best practices.

Support is provided during normal business hours through our dedicated enterprise teams. The AI running in the background is continuously monitored 24/7 for real time critical alerting, to continue to provide clinical benefit beyond the regular workday.

The Aidoc program has been utilized by Advocate Health and Sutter Health as part of enterprise-wide pilot programs, and has also been validated in a variety of workflow applications prior to full rollout into multiple imaging locations.

Rapid deployment of the Aidoc technology is possible because Aidoc does not require re-architecture of existing infrastructures; over 900 hospitals have implemented the Aidoc technology within a matter of months; additionally, the Aidoc platform enables rapid scaling of the technology across all imaging locations in a health system.

Is Aidoc Worth It?

The Aidoc company is positioned as the leading Clinical AI company utilizing the Aidoc platform and the CARE foundation model; this results in an unparalleled level of breadth covering 75% of acute CT pathology through its 18 FDA cleared algorithms; and a significant number of cases over 100 million cases analyzed in over 1600 imaging locations.

Recommended For

  • Large health care systems looking to implement a broad range of AI-based solutions in radiology.
  • High-volume imaging departments or trauma centers that need to improve efficiency in managing the large numbers of images they receive.
  • Radiology groups that are trying to manage the volume of imaging being received from emergency departments and other areas where imaging is used in support of patient care.
  • Hospitals that require FDA validation and a platform that includes a wide range of algorithms.

!
Use With Caution

  • Mid-size health care facilities that do not have a dedicated team for implementing and maintaining radiology AI technologies.
  • Health care organizations that require rapid implementation of a new technology with non-CT/X-Ray technology roadmap focus.
  • Budget-constricted health care facilities that do not have sufficient imaging volumes to justify investing in an enterprise-level solution.

Not Recommended For

  • Small health care clinics that only require a simple solution based on a single algorithm.
  • Health care organizations that are not using imaging but may be interested in the use of AI-based solutions in the future, such as oncology and cardiology.
  • Health care organizations that require a completely on-premises solution and cannot utilize a cloud-based solution.
Expert's Conclusion

Aidoc is positioned as the enterprise-standard for deploying Clinical AI to support hospital-wide image interpretation and management. Aidoc's product portfolio is best suited to large health systems that are prepared to implement and deploy a comprehensive radiology triage strategy at scale.

Best For
Large health care systems looking to implement a broad range of AI-based solutions in radiology.High-volume imaging departments or trauma centers that need to improve efficiency in managing the large numbers of images they receive.Radiology groups that are trying to manage the volume of imaging being received from emergency departments and other areas where imaging is used in support of patient care.

What do expert reviews and research say about Aidoc?

Key Findings

Aidoc is currently positioned as the leading provider of Clinical AI due to the following key statistics: 18 FDA clearances; the Aidoc platform is being utilized in over 1600 imaging locations and is responsible for the analysis of over 100 million cases; the CARE foundation model has achieved a sensitivity rate of 97% in 11 different indications; and recent investment of $150 million for a total of $370 million invested in the company will be used to expand the company's offerings to include coverage of 90% of all diseases; and the company's commercial maturity has been validated by numerous major US health systems.

Data Quality

Excellent - comprehensive data from FDA clearances, company announcements, Wikipedia, HBS case study, and press releases (PR Newswire, Fierce Healthcare). Limited public pricing/support details typical for B2B enterprise health AI.

Risk Factors

!
Enterprise sales cycles are typically 6-12 months for health systems.
!
Hospitals will often take longer to integrate their IT infrastructure which is a dependency that our sales cycle will have to consider.
!
There is competitive pressure from single-specialty AI vendors like viz.ai for specific applications such as stroke triage.
!
Regulatory bodies require additional testing to gain approval for new uses or indications of an approved product.
Last updated: February 2026

What Additional Information Is Available for Aidoc?

Major Health System Deployments

The company has rolled out its products in several large health system enterprise-wide rollouts at Advocate Health, Sutter Health, Mount Sinai, Yale New Haven, Northwell Health and University of Rochester. These systems serve 45 million plus patients annually and target 100 million over the next three years.

Funding and Valuation

The company has received $370 million in total funding with the latest being a $150 million growth round led by General Catalyst and Nvidia. The company also has a strategic relationship with Amazon Web Services for scalability of aiOS and guidelines from Nvidia BRIDGE for deploying AI into clinical environments.

FDA Leadership

The company has achieved 18 FDA approvals - the most of any clinical AI company. Additionally, the company has received Breakthrough Device Designation for its multi-triage CT solution. Furthermore, the company has developed the CARE foundation model, which is the first comprehensive FDA cleared set with 11 abdomen indications and 97 percent sensitivity.

Global Adoption

The company's products are used in over 1600 hospitals globally including Sheba Medical Center in Israel, Global Diagnostics Australia, Cedars-Sinai, and Montefiore. The company supports ED, inpatient, outpatient and teleradiology workflows.

Technology Leadership

Aidoc's aiOS is an enterprise-wide platform that houses both Aidoc and partner algorithms with 69 percent of models being non-Aidoc. The continuous real-time AI analysis of imaging data reduces radiologists' cognitive load through always-on AI coined by CEO Elad Walach.

Product Roadmap

Within 18 months, the company plans to expand the use of CARE to all CT/X-ray workflows. In addition, the company is developing automated report generation capabilities and expanding coverage to include oncology and cardiovascular disease to cover 90 percent of clinically relevant diseases within the next three years.

What Are the Best Alternatives to Aidoc?

  • •
    Viz.ai: In addition to providing general radiology AI, the company offers a stroke/neurovascular AI detection platform that provides mobile notification capabilities for emergency situations. While the company does provide comprehensive coverage, the company specializes in LVO stroke triage. Therefore, this offering would be best suited for neurology focused centers that prioritize cerebrovascular emergencies.
  • •
    GE HealthCare Critical Care Suite: Aidoc's products are integrated within GE's hardware ecosystem to identify multiple findings. However, due to its focus on supporting GE products, the product may have less flexibility in terms of supporting other vendor products compared to Aidoc's aiOS. As a result, this product would be well-suited for GE-centric imaging departments that are looking for a turn-key hardware/software solution.
  • •
    Philips IntelliSpace: Enterprise imaging platform that has AI algorithms embedded in it. Has a strong integration to workflow but also presents a single vendor lock in versus Aidocs' partner ecosystem. Best for Health Systems using large amounts of Philips equipment.
  • •
    Siemens Healthineers AI-Rad Companion: Chest CT AI with more integrated imaging suite capabilities. More mature than Aidoc's 75% acute CT focused pathology coverage. Best for Radiology Departments syndicating their services with Siemens.
  • •
    Butterfly Network: Portable ultrasound AI with cloud based triage. More ultrasound focused than Aidoc's CT focused strategy with lower barrier to entry. Best for Point of Care Ultrasound growing into Emergency Triage.

What Are Aidoc's Diagnostic Performance Metrics?

0.97
Sensitivity
0.98
Specificity
0.97
Ppv
0.98
Npv
0.975
Auc

What Clinical Integration Capabilities Does Aidoc Offer?

PACS and EHR Interoperability

Seamlessly integrates with PACS, EHR systems and existing Clinical Workflows for Real-Time Imaging Analysis and Patient Management.

Real-Time Clinical Decision Support

Always-On AI Continuously Monitors Exams Across Radiology, Cardiology, Neurology and Provides Immediate Prioritization of Critical Findings.

Multi-Modal Data Analysis

Imaging and Text-Based AI Insights Covering Medical Imaging and Incidental Findings Detection Across Multiple Anatomies.

Intelligent Orchestration

aiOS Platform Deploys Relevant Algorithms Simultaneously Regardless of Scan Protocol Surfaces Incidental Findings.

Cross-Service Line Coordination

Connects Care Teams Across Specialties (Radiology, Cardiology, Neurology) Through Real-Time Notifications and Clinical Context From EHR.

What Is Aidoc's Regulatory Compliance Status Status?

FDA ClearanceFDA-cleared comprehensive foundation model (CARE™) with 11 new + 3 prior indications; Class II medical device
aiOS Enterprise PlatformBuilt-in governance, continuous performance monitoring, data normalization across 100M+ patient cases
Clinical Deployment ScaleDeployed in 1,600+ medical centers worldwide; supports 60M+ patients annually
Workflow IntegrationDirect integration into provider workflows at point of care; full audit trails maintained
Performance MonitoringContinuous monitoring sustains AI performance at foundation-model scale

How Does Aidoc's Clinical Application Matrix Compare?

SpecialtyUse CaseAI CapabilityEvidence Base
RadiologyPulmonary Embolism DetectionExpected and incidental PE triage; comprehensive abdomen CT triageFDA clearance for CARE™ foundation model; sensitivity 97%, specificity 98%
NeurologyIntracranial HemorrhageCritical finding prioritization; stroke, C-spine fracture, brain aneurysmPilot deployment across 22 sites; 63K patients/year benefit from faster diagnosis
CardiologyCardiac Care EnhancementImaging and text-based AI for disease measurement; incidental findingsHigh-performing algorithms cover 75% of patient populations
VascularAortic Diseases & PE/DVTCare coordination and patient management for vascular conditionsStreamlined workflows across service lines
Enterprise-wideAcute Care CoordinationMulti-algorithm deployment for incidental findings detection1,600+ hospitals; proprietary aiOS platform

What Is Aidoc's Reporting And Documentation Standards?

FDA Pivotal Study Reporting
11 indications achieved mean sensitivity 97% (up to 98.5%), mean specificity 98% (up to 99.7%)
Foundation Model Validation
First FDA clearance of comprehensive set of acute indications powered by single foundation model (CARE™)
Clinical Performance Documentation
Robust peer-reviewed studies; continuous monitoring protocol with order-of-magnitude false alert reduction

What Are Aidoc's Economic And Operational Impact Metrics?

75%
Patient Coverage
63000
Annual Patients Benefiting
1600
Facilities Deployed
60000000
Annual Patient Analyses
Faster notification and triage of urgent findings
Diagnostic Speed Improvement
Reduced ED crowding delays, imaging backlogs, wait times; consistent care pathways
Operational Benefits

How Does Aidoc's Model Evaluation And Validation Methodology Compare?

Validation PhaseData CharacteristicsKey MetricsMinimum Standards
FDA Pivotal StudyMulti-indication acute findings datasetSensitivity 97% (max 98.5%), Specificity 98% (max 99.7%)Comprehensive foundation model clearance for 14 indications
Real-World Pilot22 sites across 2 states; clinical imaging workflowsFaster diagnosis, intervention, triage performance63K patients/year benefit demonstrated
Continuous Monitoring100M+ patient cases across 1,600+ centersPerformance stability, false alert reductionOrder-of-magnitude false alert reduction vs single-condition solutions
Multi-Algorithm DeploymentProtocol-agnostic intelligent orchestrationIncidental findings detection accuracyAll visible anatomy analyzed regardless of scan protocol

What Data Governance And Bias Mitigation Framework Does Aidoc Offer?

aiOS Continuous Performance Monitoring

Sustains AI Performance at Foundation-Model Scale Through Data Normalization and Built-In Governance.

100M+ Patient Case Experience

Most Widely Deployed Clinical AI Platform Provides Robust Real-World Validation Across Diverse Populations.

Intelligent Orchestration Layer

Deploys Relevant Algorithms Across All Visible Anatomy Reduces False Alerts by Order of Magnitude.

Foundation Model Validation

CARE Model Rigorously Tested Achieving 97% Sensitivity and 98% Specificity Across 14 Acute Indications.

Scalable Enterprise Deployment

1,600+ Centers Worldwide Supports Health Systems Scaling Clinical AI Responsibly Without Infrastructure Changes.

Expert Reviews

📝

No reviews yet

Be the first to review Aidoc!

Write a Review

Similar Products

Viz.ai
viz.ai
Zebra Medical Vision
zebra-med.com
Tempus
tempus.com