Aidoc

Aidoc is a clinical artificial intelligence company whose aiOS platform runs, orchestrates, and governs FDA-cleared clinical AI across health systems. Its modules span radiology, cardiology, neurovascular, and vascular care — detecting acute findings (stroke, pulmonary embolism, brain aneurysm, incidental findings) and coordinating care teams at the point of care. aiOS is a vendor-neutral platform that runs both Aidoc and third-party algorithms and integrates into existing hospital IT stacks (PACS, EHR, mobile) using standard healthcare interoperability protocols (DICOM, HL7, FHIR) rather than a public developer REST API. Aidoc reports adoption across more than 1,600 medical centers worldwide. Surfaced as a general-catalyst portfolio company and enriched here for security posture, interoperability conformance, and identity; no public developer API surface is published.

Aidoc is profiled on the APIs.io network. Tagged areas include Company, Healthcare, Clinical AI, Medical Imaging, and Radiology.

Aidoc’s developer surface includes engineering blog, support, and 11 more developer resources.

🌐 Visit website 📡 Source on GitHub

20.8/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Healthcare Clinical AI Medical Imaging Radiology Artificial Intelligence Interoperability FHIR

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 20.8/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 1.2 / 17

Access Clarity 4.9 / 17

Operational Transparency 1.2 / 11

Contract Governance 1.9 / 10

Discoverability 4.9 / 9

Regulatory Posture 7.1 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/aidoc: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Aidoc Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Aidoc Vulnerability Disclosure

security.txt · contact published

SECURITY

Aidoc Trust Center

trust center published

SECURITY

Resources

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Access & Security 5

Authentication, authorization, and security posture

Security

Security

SecurityTxt

SecurityTxt

DomainSecurity

DomainSecurity

VulnerabilityDisclosure

VulnerabilityDisclosure

TrustCenter

TrustCenter

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: aidoc
name: Aidoc
description: Aidoc is a clinical artificial intelligence company whose aiOS platform runs, orchestrates, and governs FDA-cleared
  clinical AI across health systems. Its modules span radiology, cardiology, neurovascular, and vascular care — detecting
  acute findings (stroke, pulmonary embolism, brain aneurysm, incidental findings) and coordinating care teams at the point
  of care. aiOS is a vendor-neutral platform that runs both Aidoc and third-party algorithms and integrates into existing
  hospital IT stacks (PACS, EHR, mobile) using standard healthcare interoperability protocols (DICOM, HL7, FHIR) rather than
  a public developer REST API. Aidoc reports adoption across more than 1,600 medical centers worldwide. Surfaced as a general-catalyst
  portfolio company and enriched here for security posture, interoperability conformance, and identity; no public developer
  API surface is published.
url: https://raw.githubusercontent.com/api-evangelist/aidoc/refs/heads/main/apis.yml
x-type: company
x-source: general-catalyst-portfolio
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://www.aidoc.com/wp-content/uploads/Aidoc-Homepage-Featured-Image.jpg
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Healthcare
- Clinical AI
- Medical Imaging
- Radiology
- Artificial Intelligence
- Interoperability
- FHIR
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.aidoc.com
- type: Blog
  url: https://www.aidoc.com/learn/blog/
- type: Support
  url: https://www.aidoc.com/about/contact-support/
- type: TermsOfService
  url: https://www.aidoc.com/terms/
- type: PrivacyPolicy
  url: https://www.aidoc.com/privacy-policy/
- type: Security
  url: https://www.aidoc.com/about/security-privacy/
- type: SecurityTxt
  url: well-known/aidoc-security.txt
- type: WellKnown
  url: well-known/aidoc-well-known.yml
- type: DomainSecurity
  url: security/aidoc-domain-security.yml
- type: VulnerabilityDisclosure
  url: security/aidoc-vulnerability-disclosure.yml
- type: TrustCenter
  url: security/aidoc-trust-center.yml
- type: Conformance
  url: conformance/aidoc-conformance.yml
- type: LLMsTxt
  url: llms/aidoc-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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