Aidoc: The AI Radiology Breakthrough Every Hospital Executive Should Know
Feature Categories
What is Aidoc?
Aidoc provides an enterprise clinical AI operating system (aiOS™) and a portfolio of medical imaging algorithms that run continuously to triage urgent findings, quantify measurements, and coordinate follow-up across care teams. The platform centrally ingests imaging (and report/EHR metadata), applies multiple validated AI models in parallel, prioritises worklists, notifies clinicians of suspected acute pathologies (e.g., ICH, LVO, PE, pneumothorax, aortic disease), and routes patients into follow-up workflows and analytics.
Deployments emphasise integration with PACS/EHR/RIS and scale across health systems — enabling both acute-care triage and population-health workflows (e.g., coronary artery calcification capture for preventative cardiology). The company publishes clinical studies and partners with cloud and EHR vendors to accelerate enterprise rollouts.
Why Leading Healthcare Teams Trust Aidoc
- FDA clearance obtained for detecting large-vessel occlusions in head CTA examinations in January 2020
- Received 6th FDA clearance for AI solution detecting incidental pulmonary embolism in May 2024
- Two FDA-approved AI triage programs currently available: BriefCase-IFG for intra-abdominal free gas detection and BriefCase-CT for vertebral compression fractures
- One of the broadest ranges of FDA-cleared and CE/UKCA-marked algorithms in clinical AI
- First company in radiology to receive FDA clearance for AI-based workflow optimization in August 2018
- Market leader in AI radiology space with impressive FDA approval achievement
- Partnership with Radiology Partners represents the largest clinical deployment of AI in healthcare
- Trusted by radiologists from University of Rochester Medical Center and Einstein Healthcare
- Raised $110 million in Series D funding in January 2025
- Series C round of $66 million led by General Catalyst in 2024
- Total funding of $420 million with investors including Amazon Web Services, Hartford HealthCare, and Mercy
- Collaboration with NVIDIA to develop AI deployment framework for healthcare as of October 2024
- Working with major health systems including Sutter Health and NVentures
- First deep learning solution for detecting acute intracranial hemorrhage using AI
- Always-on AI platform providing continuous monitoring and triage capabilities
- Multi-pathology detection across various imaging modalities
Features
Scalability:
3 million patients analysed per month (platform scale cited by Aidoc). Deployed across 1,000+ / 1,200+ medical systems (Aidoc cites >1,000 / 1,200 medical systems worldwide in corporate materials). Platform designed for low-latency parallel execution of multiple algorithms and enterprise orchestration (aiOS™)
Competitive Comparisons:
Aidoc strengths: enterprise orchestration (aiOS), broad algorithm portfolio (many FDA/CE/UKCA clearances), foundation-model work, enterprise integrations (Epic, AWS), and published clinical evidence/ROI case studies. Peers: Viz.ai (strong stroke/coordination and mobile clinician workflow focus; large stroke footprint), RapidAI, Zebra Medical Vision, Siemens/Philips/GE enterprise imaging AI modules — each vendor has different strengths (specialist vs. platform/orchestration). Use case + IT stack normally determines the winner. Practical decision rule: choose Aidoc if you need multi-pathology enterprise orchestration + broad clinical evidence; choose a specialist vendor if you need a narrow, single-use clinical workflow (e.g., only LVO) and already have orchestration
Unique AI Model Capabilities:
aiOS™ — an “AI operating system” that orchestrates multiple algorithms (Aidoc + vetted third-party) in parallel, unifies results, and coordinates care. CARE™ foundation model & CADt clearance — Aidoc announced CARE foundation models and has reported an FDA clearance for a CAD-type foundation model solution (a notable industry milestone). This supports faster model development, multimodal capabilities and scalable CADt workflows. Low-latency “always-on” triage (average scan→notification metrics reported in their clinical impact summary)
Deployment Time and Ease of Use:
Aidoc emphasizes repeatable, low-IT-lift deployments and enterprise templates; published statements show rapid rollouts at multi-hospital systems (examples: multi-hospital rollouts using aiOS and AWS). Exact timeline depends on integrations and clinical governance, but Aidoc markets the model as enterprise-focused and quick to scale once integrations are agreed. (For precise timelines, request Aidoc’s implementation playbook and an on-site technical assessment.)
Website:
https://www.aidoc.com/
Therapeutic Area:
Neurovascular (stroke, ICH, LVO), thoracic (PE, pneumothorax), vascular (aortic dissection, AAA), cardiology (CAC, RV/LV ratio), oncology screening workflows (pulmonary nodules), trauma (rib fractures) — multiple service lines supported
Key Use Cases/ Target Users:
Emergency departments & stroke teams: rapid triage for ICH, LVO, large vessel occlusion. Radiology departments / teleradiology: prioritisation, worklist reprioritiation, pneumothorax/PE/rib fracture detection. Cardiology & population health: coronary artery calcification capture and patient management dashboards for follow-up. Healthcare AI | Aidoc Always-on AI Vascular surgery / vascular teams: aortic dissection/AAA triage and measurements
Pricing Model:
Demo / enterprise commercial pricing (custom subscription or enterprise agreement). Request a demo / contact sales via Aidoc’s site and AWS Marketplace listings — pricing is negotiated per health-system size, scope and integrations
Supported Data Types:
DICOM imaging: CT (non-contrast head CT, CTPA/CTA, chest/abdomen, trauma CT), radiography (X-ray including portable), cardiac CT/CT components for CAC, etc. Imaging metadata and structured/unstructured reports / EHR data (text-based AI for patient-capture and follow-up). Integrates with PACS/RIS worklists and HL7/FHIR/EHR connectors (so results + notifications reach clinicians)
Operational & Financial Impact:
36.6% improvement in turnaround time (platform/partner averages reported). 96% solution accuracy (Aidoc summary metric across validations). 5-minute average scan→notification for urgent cases (Aidoc reported). 40% increase in clinically appropriate interventions (example: PE interventions). 10–26% decrease in length of stay (ICH & PE figures from partner studies; Cedars-Sinai reported 11.9% ICH and 26.3% PE LOS reductions in their case study). Single-site case examples: one major US center reported ~59 minutes reduction in ED time and an ~18-hour average hospitalization reduction (site-level AWS/Aidoc case study)
Deployment Model:
Primarily enterprise SaaS (cloud) delivered via enterprise aiOS™ (Aidoc runs on cloud infrastructure and is available via AWS Marketplace). Aidoc positions aiOS for enterprise orchestration and also offers custom/hybrid enterprise deployment approaches — customers discuss on-premises, hybrid or hosted options with Aidoc for data-residency and regulatory needs. (Contact Aidoc for exact on-prem/hybrid details for your environment.)
Integration and Compatibility:
EHR / App stores: Epic App Orchard (live), Epic integration examples. PACS / Reporting / Scheduling / EHR: common integrations listed include Epic, Cerner, Change Healthcare (Optum), Merative, Nuance, 3M M*Modal, Qgenda (per Aidoc product brochures). Cloud marketplace: AWS Marketplace listing and strategic AWS partnership to simplify deployment.
Top 3 Pain Points Aidoc Fixes in Healthcare
| Problem | How Aidoc Solves It |
|---|---|
| 1. Delayed detection of acute findings (e.g., stroke, hemorrhage, pulmonary embolism) | Aidoc continuously scans images in real time, flags urgent cases, and notifies care teams — enabling faster diagnosis and treatment. |
| 2. Radiologist workflow overload | By reprioritizing worklists and integrating alerts directly into PACS/EHR, Aidoc helps radiologists manage high volumes efficiently and reduce missed findings. |
| 3. Fragmented care coordination | Aidoc routes actionable results into follow-up workflows, ensures patients receive proper care, and improves communication across teams. |
Feature Category Summary: Aidoc
| Feature Category | Summary |
|---|---|
| Regulatory-Ready | Fully FDA-cleared with ISO 13485:2016 quality certifications. |
| Clinical Trial Support | Provides indirect support through improved diagnostic workflows and imaging quality. |
| Supply Chain & Quality | Manufactures under quality standards but does not manage supply chain. |
| Efficiency & Cost-Saving | Automates radiology diagnostics, reducing turnaround and workload. |
| Scalable / Enterprise-Grade | Cloud-native, widely deployed in over 1,500 medical centers worldwide. |
| HIPAA Compliant | Complies with HIPAA and health data privacy regulations. |
| Clinically Validated | Clinically validated through FDA clearance and peer-reviewed evidence. |
| EHR Integration | Integrates with PACS, RIS, and EHR systems for seamless clinical workflow. |
| Explainable AI | Provides transparent AI insights with visualizations and confidence metrics. |
| Real-Time Analytics | Offers real-time image analysis and clinical alerting. |
Risks & Limitations: Aidoc
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Alert fatigue / low PPV at high sensitivity: aggressive thresholds can overwhelm clinicians—site-level tuning and workflow design needed.
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Generalisability & scanner variability: image quality and protocol heterogeneity affect performance; initial calibration and QA are essential.
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Workflow dependence: AI only shortens time-to-action if clinical escalation pathways and staffing exist to respond to alerts.
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Regulatory/market nuance: module availability and regulatory clearance vary by market—confirm intended-use statements for each module before procurement.
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