%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
OPT PET Impression
O
OPT PET Impression
Developed by xtie
This is a BERT-based medical text summarization model that supports English text processing, suitable for automatic summary generation of medical literature and reports.
Downloads 15
Release Time : 9/3/2023
Model Overview
The model utilizes the BERT architecture for medical text summarization, capable of extracting key information from complex medical literature and generating concise summaries.
Model Features
Medical Domain Optimization
Specially optimized for medical texts, it better understands and processes medical terminology and complex sentence structures.
Multi-metric Evaluation
Supports various evaluation metrics such as BERT score, BLEU, CHRF, and ROUGE to ensure summary quality.
Efficient Summary Generation
Quickly extracts key information from lengthy medical literature to generate concise and accurate summaries.
Model Capabilities
Medical Text Summarization
Key Information Extraction
Multi-metric Evaluation
Use Cases
Medical Research
Medical Literature Summarization
Automatically generates summaries of medical research papers, helping researchers quickly grasp the main content.
The generated summaries have high accuracy and cover the main points and conclusions of the papers.
Clinical Report Summarization
Extracts key information from clinical reports to generate concise summaries for doctors' reference.
The summaries are accurate and effectively reduce the time doctors spend reading reports.
Medical Education
Educational Material Summarization
Generates summaries for medical education materials to help students quickly grasp key content.
The summaries are concise and clear, suitable for student review and preview.
Featured Recommended AI Models