aiOS
Enterprise AI platform unifying healthcare workflows and data accuracy
Platform · Cloud SaaSCompany source
Company profile
About Aidoc
Aidoc delivers clinical AI that empowers healthcare providers with faster, more accurate decision support by analyzing medical imaging to detect acute abnormalities.
Company description Aidoc official website
Primary marketMedical Imaging & Radiology
Commercial modelCommercial information available on request
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01 · Operating footprint
Where the Company operates
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Clinical focus
- Abdominal Aortic Aneurysm
- Aortic Dissection
- Brain Aneurysm
- C-Spine Fracture
- Coronary Artery Disease
- Deep Vein Thrombosis
- Intra-Abdominal Free Gas
- Intracranial Hemorrhage
- IVC Filters
- Malpositioned Endotracheal Tubes
- Pneumothorax
- Pulmonary Embolism
- Rib Fractures
- Stroke
- Vertebral Compression Fracture
Who it serves
- Health Systems
- Hospitals
- Medical Centers
Deployment & integration
Cloud Saas deployment with recorded integration context.
Recorded integration context: Cerner, EHR systems, Epic, PACS.
Geographic context
MarketsEurope · Global (1,600+ medical centers worldwide) · United States
Operating footprint1,600+ medical centers
Company sourceOfficial website
Company milestones
Platform expansion
Serving more than 1,600 medical centers worldwide, expanded portfolio to 17 organic FDA-cleared algorithms plus 8 partner algorithms, launched foundation models powered by CARE™, introduced BRIDGE Guidelines framework
Partnerships
Recorded partners
- AWS
- Vetted third-party algorithm developers and OEMs
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
Radiology Solutions
Largest portfolio of FDA-cleared algorithms for medical imaging analysis
Software · Cloud SaaSCompany source
Neurovascular Solutions
Real-time notification for stroke, hemorrhage, c-spine fracture and brain aneurysm
Software · Cloud SaaSCompany source
Vascular Solutions
Centralized patient management for VTE and aortic diseases
Software · Cloud SaaSCompany source
Cardiology Solutions
Imaging and text-based AI for cardiac disease measurement and incidental findings
Software · Cloud SaaSCompany source
Care Coordination
Mobile app for real-time notification and cross-department communication
Software · Cloud SaaSCompany source
CARE Foundation Models
A new approach to clinical AI powered by foundation models
Model · Cloud SaaSCompany source
Clinical Trial Enrollment
AI-driven automatic patient identification for clinical trial enrollment
Software · Cloud SaaSCompany source
Patient Management
AI-driven patient identification and follow-up tracking system
Software · Cloud SaaSCompany source
03 · Research intelligence
Research Intelligence evidence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Evidence position
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Publications & preprints
Enhancing diagnostic safety: addressing knowledge gaps for using human factors tools in the safe and effective use of AI - a proposed research agenda.Diagnosis (Berlin, Germany) · Aug 13, 2026
Predicting the Value of Radiology Artificial Intelligence Applications: Large-Scale Predeployment Evaluation of a Portfolio of Models.AJR. American journal of roentgenology · Jul 8, 2026
Best Practices and Checklist for Reviewing Artificial Intelligence-Based Medical Imaging Papers: Classification.Journal of imaging informatics in medicine · Apr 1, 2026
Performance of an adult-trained AI tool for intracranial hemorrhage detection on head CT in children aged 6-17 years.Pediatric radiology · Mar 1, 2026
Performance assessment of an artificial intelligence algorithm for opportunistic screening of abdominal aortic aneurysms.Clinical imaging · Sep 1, 2025
Quality Assurance of a Cross-Border and Sub-Specialized Teleradiology Service.Healthcare (Basel, Switzerland) · May 28, 2022
Clinical validation
Clinical-trial records
AI-Assisted Fracture Detection in Emergency RadiographyNCT06754137 · Mentioned · COMPLETED
Regulatory
Regulatory records
No linked records are currently available.
04 · Company-reported outcomes
Outcomes and case studies
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
31% faster time-to-notification
PE patients
34% reduction in door-to-puncture time
Stroke patients (38 minutes saved)
99% of eligible AA patients scheduled
Long-term follow-up
11-26% reduction in length of stay
Various patient populations
22-55% turnaround time reduction
Various institutions
4-45% quality improvement
Various metrics across institutions
Beth Israel Lahey Health
Improving quality and reducing turnaround time
5% quality improvement; 40% turnaround time reduction
Cedars-Sinai Medical Center
Reducing length of stay for inpatients and ICU patients
12% reduction in LOS (Inpatient); 26% reduction in LOS (Inpatient); 23% reduction in LOS (ICU); 4% quality improvement
Christiana Care
Quality improvement initiatives
7% quality improvement
Envision Healthcare
Quality improvement across network
14% quality improvement
General (AA patients)
Long-term follow-up scheduling for abdominal aortic patients
99% of eligible AA patients scheduled for long-term follow-up
General (PE patients)
Faster notification for pulmonary embolism patients
31% faster time-to-notification for PE patients
General (stroke patients)
Reducing door-to-puncture time for stroke patients
34% reduction in door-to-puncture time, equivalent to 38 minutes saved
Multiple health systems
Stroke patient treatment
34% reduction in door-to-puncture (DTP) time for stroke patients, equivalent to 38 minutes saved
Novant Health
Enterprise AI implementation
31% faster time-to-notification for PE patients, 34% reduction in door-to-puncture time for stroke patients (38 minutes saved)
Renown Health
Improving stroke patient outcomes
Changing outcomes for stroke patients
St. Luke's Health System
Triaging patients with radiologist shortage
Game-changer for triaging patients during radiologist shortage
University of Chicago
Accelerating imaging turnaround
35% turnaround time reduction
University of Rochester
Dramatically reducing turnaround time
55% turnaround time reduction
UT Southwestern
Reducing turnaround time for imaging
22% turnaround time reduction
Wake Forest Baptist Health
Tying imaging findings to treatment plans for preventive cardiology
Improved outcomes by connecting findings to actionable plans
Yale New Haven Health
Coordinating vascular care and expediting treatment
Minimized time to consultation and decreased time to treatment; 11% reduction in ED length of stay; 99% of eligible AA patients scheduled for long-term follow-up
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
Idan Kozahinof
Senior Software Engineer
Aswin Chandrakantan MD
President
Stacy Malyil Sand
Vice President, Product Marketing
Tamar Lin
Vice President of Product Management
Aviv Klasquin Komissar
Software Architect, CTO Office at JFrog
Tom Avitan
Principal Engineer, CTO Office
Arvind Kadaba
Chief Financial Officer
Jesse Ehrenfeld MD MPH
Global Chief Medical Officer
06 · Company updates
Updates from Aidoc
Recent articles published on Aidoc's official website.
From Guideline Release to Clinical Readiness: What the New AHA/ACC Acute PE Guideline Means for Health Systems
Read on AidocClosing the Gap Between Image and Action
Read on AidocSolving for distance: How Aidoc is supporting radiology across New Zealand
Read on AidocTransforming Radiology in South Africa with AI
Read on Aidoc07 · HAIC coverage
Coverage and analysis
Health AI Central reporting that mentions this Company.
Europe's Clinical AI Market Faces a Reckoning as U.S. Platforms Pull Back
OpenEvidence's termination of access for UK and EU clinicians is not an isolated business decision — it reflects a deeper structural challenge facing European healthcare systems that have become dependent on U.S.-developed AI tools without building equivalent domestic capabilities.
Opinion & Analysis · May 19, 2026
The Network Is the New Bottleneck for Healthcare AI Infrastructure
The rapid deployment of clinical AI at the point of care is revealing a new constraint: the hospital data center and network infrastructure required to support real-time AI inference at scale. This analysis examines why infrastructure is the next frontier of the health AI buildout.
Opinion & Analysis · May 16, 2026
08 · Official presence
Company sources and channels
Curated official destinations from the active Company record.
09 · Market pathway
Additional Companies in this Market
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Medical Imaging & Radiology
Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.
Explore the full market directory or compare this Company with additional active profiles.
View all Companies in this market
10 · Pro research
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Expanded Company research is in development.
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Pro Research will introduce expanded technical context, linked evidence analysis, and comparative Company research.
Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.