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healthcare AI, clinical NER, biomedical NLP, PII / de-identification, on-device AI, edge inference, Apple Silicon / MLX, data sovereignty, privacy-preserving ML, open-source

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Articles

OpenMed 's collections 18

Medical & Clinical NER
State-of-the-art medical, biomedical, and clinical Named Entity Recognition models
Multilingual PII & De-Identification
Multilingual models for extracting PII entities and de-identifying clinical text, with support for HIPAA and GDPR compliance.
Portuguese PII and De-Identification
35 open-source Portuguese PII detection models. 54 entity types. Apache 2.0.
Dutch PII & De-Identification
35 open-source Dutch PII detection models. 54 entity types. Best: DeBERTa-v3-large F1=94.2%. Apache 2.0.
French PII & De-Identification
33 models for French PII detection & de-identification. 55+ entity types. HIPAA & GDPR compliant. Apache 2.0.
Italian PII & De-Identification
33 models for Italian PII detection & de-identification. 55+ entity types. HIPAA & GDPR compliant. Apache 2.0.
PII & De-Identification
Models for extracting PII entities and de-identifying clinical text, with support for HIPAA and GDPR compliance.
OpenMed ONNX and Android
All models in ONNX format for CPU, Web, and Android
Telugu PII & De-Identification
35 open-source Telugu PII detection models. 54 entity types. Best F1: 95.3%. Apache 2.0.
Hindi PII & De-Identification
35 open-source Hindi PII detection models. 54 entity types. Best F1: 96.6%. Apache 2.0.
Spanish PII & De-Identification
33 models for Spanish PII detection & de-identification. 55+ entity types. HIPAA & GDPR compliant. Apache 2.0.
German PII & De-Identification
33 models for German PII detection & de-identification. 55+ entity types. HIPAA & GDPR compliant. Apache 2.0.
PII & De-Identification
Models for extracting PII entities and de-identifying clinical text, with support for HIPAA and GDPR compliance.
Medical & Clinical NER
State-of-the-art medical, biomedical, and clinical Named Entity Recognition models
OpenMed ONNX and Android
All models in ONNX format for CPU, Web, and Android
Multilingual PII & De-Identification
Multilingual models for extracting PII entities and de-identifying clinical text, with support for HIPAA and GDPR compliance.
Telugu PII & De-Identification
35 open-source Telugu PII detection models. 54 entity types. Best F1: 95.3%. Apache 2.0.
Portuguese PII and De-Identification
35 open-source Portuguese PII detection models. 54 entity types. Apache 2.0.
Hindi PII & De-Identification
35 open-source Hindi PII detection models. 54 entity types. Best F1: 96.6%. Apache 2.0.
Dutch PII & De-Identification
35 open-source Dutch PII detection models. 54 entity types. Best: DeBERTa-v3-large F1=94.2%. Apache 2.0.
Spanish PII & De-Identification
33 models for Spanish PII detection & de-identification. 55+ entity types. HIPAA & GDPR compliant. Apache 2.0.
French PII & De-Identification
33 models for French PII detection & de-identification. 55+ entity types. HIPAA & GDPR compliant. Apache 2.0.
German PII & De-Identification
33 models for German PII detection & de-identification. 55+ entity types. HIPAA & GDPR compliant. Apache 2.0.
Italian PII & De-Identification
33 models for Italian PII detection & de-identification. 55+ entity types. HIPAA & GDPR compliant. Apache 2.0.