Medalyze: Lightweight Medical Report Summarization Application Using FLAN-T5-Large

Van-Tinh Nguyen, Hoang-Duong Pham, Thanh-Hai To, Cong-Tuan Hung Do, Thi-Thu-Trang Dong +2 more
5/17/2025
cs.CLcs.AI

No confident code implementation found for this paper. 5 possible matches can be shown below.

Abstract

Understanding medical texts presents significant challenges due to complex terminology and context-specific language. This paper introduces Medalyze, an AI-powered application designed to enhance the comprehension of medical texts using three specialized FLAN-T5-Large models. These models are fine-tuned for (1) summarizing medical reports, (2) extracting health issues from patient-doctor conversations, and (3) identifying the key question in a passage. Medalyze is deployed across a web and mobile platform with real-time inference, leveraging scalable API and YugabyteDB. Experimental evaluations demonstrate the system's superior summarization performance over GPT-4 in domain-specific tasks, based on metrics like BLEU, ROUGE-L, BERTScore, and SpaCy Similarity. Medalyze provides a practical, privacy-preserving, and lightweight solution for improving information accessibility in healthcare.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 5 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{nguyen2025medalyze,
  title  = {Medalyze: Lightweight Medical Report Summarization Application Using FLAN-T5-Large},
  author = {Van-Tinh Nguyen and Hoang-Duong Pham and Thanh-Hai To and Cong-Tuan Hung Do and Thi-Thu-Trang Dong and Vu-Trung Duong Le and Van-Phuc Hoang},
  year   = {2025},
  eprint = {2505.17059},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2505.17059v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2505.17059.svg)](https://codeofpaper.com/paper/2505.17059)

Discussion