ModelLLMsvv1

ClinicalBERT

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

ClinicalBERT is a BERT-based model pre-trained on clinical notes from MIMIC-III, enabling deep understanding of electronic health record (EHR) text and clinical documentation. It has become a foundational model for clinical NLP tasks including readmission prediction, named entity recognition, and relation extraction.

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

B—Above Average

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

Specifications

License: MIT
Pricing: open-source
Capabilities: clinical-ner, readmission-prediction, clinical-text-classification, ehr-understanding
Integrations: Hugging Face, PyTorch, TensorFlow
Use Cases: hospital readmission prediction, clinical entity recognition, ICD code assignment, adverse event detection
API Available: Yes
Parameters: ~110M
Context Window: 512 tokens
Modalities: text
Training Cutoff: 2020
Tags: clinical, bert, ehr, nlp, healthcare
Added: 2026-03-17
Completeness: 100%

Index Score

66.4

Adoption

Quality

Freshness

Citations

Engagement

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