O

OpenMed-NER-OncologyDetect-BigMed-560M EU AI Act Compliance Profile

OpenMed

Token Classificationapache-2.0transformers
Risk Classification
HIGH RISK
Art. 6-15, 26-29
High-Risk AI System
Model Info
560Mparameters
PipelineToken Classification
Librarytransformers
Licenseapache-2.0
Languagesen
SyncedApr 3, 2026
Popularity
90.9Kdownloads
2 likes
View on HuggingFace
Obligations
7apply
~96h effort
AI Literacy (Art. 4)
AI Disclosure (Art. 50)
Human Oversight (Art. 26)
Data Governance (Art. 10)
$ npx complior scan

Your risk depends on how you use OpenMed-NER-OncologyDetect-BigMed-560M

Usage ContextRisk LevelObligations
Internal coding toolMINIMAL3 obligations (~12h)
Customer support botLIMITED7 obligations (~32h)
HR screening / hiringHIGH19 obligations (~120h)
Credit decisionsHIGH19 obligations (~120h)
Medical triageHIGH19 obligations (~120h)

Why this tool is classified as HIGH RISK

OpenMed-NER-OncologyDetect-BigMed-560M is a token classification model by OpenMed. Built with transformers. Supports en. Licensed under apache-2.0. 90.9K downloads on HuggingFace.

Applicable Articles

Art. 4AI Literacy (Art. 4)
REQUIREDDEADLINE PASSED
Obligation under Art. 4 for OpenMed-NER-OncologyDetect-BigMed-560M deployers.
Art. 50AI Disclosure (Art. 50)
REQUIREDDEADLINE PASSED
Art. 26Human Oversight (Art. 26)
REQUIREDAUG 2027
Art. 10Data Governance (Art. 10)
REQUIREDAUG 2027
Art. 27FRIA (Art. 27)
REQUIREDAUG 2027
Art. 9Risk Management (Art. 9)
REQUIREDAUG 2027

Who does what

OpenMed (provider)Their job

  • Provider obligations being compiled

You (deployer)Your job

  • AI Literacy (Art. 4) (Art. 4)
  • AI Disclosure (Art. 50) (Art. 50)
  • Human Oversight (Art. 26) (Art. 26)
  • Data Governance (Art. 10) (Art. 10)
  • Robustness Monitoring (Art. 26) (Art. 26)
See full obligation checklist

Risk Assessment Reasoning

The AI model is designed for named-entity recognition in the oncology domain, which can significantly impact healthcare decisions and patient outcomes, thereby categorizing it as high-risk under the EU AI Act.

More models by OpenMed

Similar Token Classification models

Browse all Token Classification models

Frequently Asked Questions

What is OpenMed-NER-OncologyDetect-BigMed-560M's EU AI Act risk classification?

+

OpenMed-NER-OncologyDetect-BigMed-560M is classified as HIGH RISK under the EU AI Act. This means 7 mandatory obligations including conformity assessment, FRIA, and human oversight requirements. The model has 560M parameters.

What are my obligations if I deploy OpenMed-NER-OncologyDetect-BigMed-560M?

+

As a OpenMed-NER-OncologyDetect-BigMed-560M deployer, you have 7 base obligations (~96 hours estimated effort). Key articles: Art. 4, Art. 50, Art. 26, Art. 10.

What is OpenMed-NER-OncologyDetect-BigMed-560M?

+

OpenMed-NER-OncologyDetect-BigMed-560M is a Token Classification model by OpenMed. It has 90.9K downloads on HuggingFace. Licensed under apache-2.0.

What are the EU AI Act deadlines for OpenMed-NER-OncologyDetect-BigMed-560M?

+

Already passed: AI Literacy (Art. 4) — 2025-02-02. Already passed: AI Disclosure (Art. 50) — 2025-08-02. Upcoming: Human Oversight (Art. 26) — 2027-08-02. Upcoming: Data Governance (Art. 10) — 2027-08-02. Upcoming: Robustness Monitoring (Art. 26) — 2027-08-02. Upcoming: FRIA (Art. 27) — 2027-08-02. Upcoming: Risk Management (Art. 9) — 2027-08-02.

Check OpenMed-NER-OncologyDetect-BigMed-560M compliance in your codebase

One command to scan. Open-source CLI.

$ npx complior scan