Medical Report Summarizer
Transformer system that turns clinical reports into patient-friendly summaries.
- CLIENT
Transformer system that turns clinical reports into patient-friendly summaries.
- SCOPE
Transformer system that turns clinical reports into patient-friendly summaries.
- RELEASE
Transformer system that turns clinical reports into patient-friendly summaries.
- WEBSITE
- https://github.com/dimplebhardwaj2/medical-summarizer
- CREDIT
- Planner
- AI / ML Engineer
- Art Director
- NLP
- Designer
- Python, PyTorch, Hugging Face, BART, NLP, Gradio
- Technical Director
- 2025
- Lead Engineer
- GitHub
- Frontend Engineer
- Personal Project
Transformer system that turns clinical reports into patient-friendly summaries.
Reliable feedback that lands the message
Created an end-to-end Medical Report Summarization System that converts lengthy clinical reports into concise, patient-friendly summaries.
Implemented core Transformer components from scratch in PyTorch — Multi-Head Attention, Positional Encoding, and Encoder-Decoder networks.
Organized around real user needs
Fine-tuned BART on 10,000+ PubMed samples using the Hugging Face ecosystem to improve abstractive medical-text summarization quality.
Created an end-to-end Medical Report Summarization System that converts lengthy clinical reports into concise, patient-friendly summaries.
Implemented core Transformer components from scratch in PyTorch — Multi-Head Attention, Positional Encoding, and Encoder-Decoder networks.
Transformer system that turns clinical reports into patient-friendly summaries.
https://github.com/dimplebhardwaj2/medical-summarizer
