ModelLLMsvv1

ClinicalBERT

by Kexin Huang et al. (Academic) · free · Last verified 2026-03-17

ClinicalBERT is a BERT-based model pre-trained on clinical notes from the MIMIC-III dataset. It provides a deep contextual understanding of electronic health record (EHR) text and clinical documentation, serving as a foundational model for various clinical natural language processing tasks.

https://github.com/kexinhuang12345/clinicalBERT ↗

B—Above Average

Adoption: B+Quality: B+Freshness: CCitations: AEngagement: F

Specifications

License: MIT
Pricing: free
Capabilities: clinical-named-entity-recognition, clinical-relation-extraction, hospital-readmission-prediction, in-hospital-mortality-prediction, medical-text-classification, phenotype-cohort-identification, clinical-natural-language-inference, ehr-question-answering
Integrations: [object Object], [object Object], [object Object], [object Object]
Use Cases: [object Object], [object Object], [object Object], [object Object]
API Available: Yes
Parameters: ~110M
Context Window: 512 tokens
Modalities: text
Training Cutoff: 2020
Tags: clinical-nlp, transformer-model, bert, ehr, healthcare-ai, medical-text-analysis, mimic-iii, deep-learning, pytorch, hugging-face
Added: 2026-03-17
Completeness: 0.95%

Index Score

66.4

Adoption

Quality

Freshness

Citations

Engagement

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