An AI project that transforms complex medical reports into clear, accessible explanations. Using fine-tuning techniques on models such as T5 or DistillBART, this project automatically generates simplified versions of medical texts while preserving their clinical accuracy.
0
stars
10
commits
Jupyter Notebook
primary language
Jul 1, 2025
updated
An AI project that transforms complex medical reports into clear, accessible explanations. Using fine-tuning techniques on models such as T5 or DistillBART, this project automatically generates simplified versions of medical texts while preserving their clinical accuracy.
Expert
Simple
Annotation
sim (Levenstein Similarity)
sentence_sim (SentenceBERT embedding cosine similarity)
compression
expert_fk_grade
expert_ari
layman_fk_grade
layman_ari
umls_expert
umls_layman
expert_terms
layman_terms
idx (original data index before shuffling, redundant)
10 commits
Jupyter Notebook
97.6%
Python
2.4%
An AI project that transforms complex medical reports into clear, accessible explanations. Using fine-tuning techniques on models such as T5 or DistillBART, this project automatically generates simplified versions of medical texts while preserving their clinical accuracy.
0
stars
10
commits
Jupyter Notebook
primary language
Jul 1, 2025
updated
An AI project that transforms complex medical reports into clear, accessible explanations. Using fine-tuning techniques on models such as T5 or DistillBART, this project automatically generates simplified versions of medical texts while preserving their clinical accuracy.
Expert
Simple
Annotation
sim (Levenstein Similarity)
sentence_sim (SentenceBERT embedding cosine similarity)
compression
expert_fk_grade
expert_ari
layman_fk_grade
layman_ari
umls_expert
umls_layman
expert_terms
layman_terms
idx (original data index before shuffling, redundant)
10 commits
Jupyter Notebook
97.6%
Python
2.4%