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Gilbert
G
Gilbert
Developed by rajpurkarlab
A model fine-tuned based on BioBERT, specifically designed to identify and remove mentions of past medical history from radiology reports.
Downloads 442
Release Time : 7/12/2022
Model Overview
This model is fine-tuned on the BioBERT architecture, focusing on processing medical texts, particularly radiology reports, to accurately identify and remove content related to past medical history.
Model Features
Medical Domain Optimization
Fine-tuned on BioBERT, specifically optimized for medical text processing.
Accurate Entity Recognition
Capable of accurately identifying content related to past medical history in radiology reports.
Text Filtering Capability
Can remove specified content from reports while retaining key diagnostic information.
Model Capabilities
Medical Text Processing
Named Entity Recognition
Text Content Filtering
Radiology Report Analysis
Use Cases
Medical Data Processing
Radiology Report Cleaning
Remove past medical history content from radiology reports, retaining current diagnostic information.
Enhances report professionalism and focus
Patient Data Anonymization
Assists in removing sensitive historical information from medical records.
Strengthens patient privacy protection
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