mlsanityData to 7 Oct 2026

A Survey on Medical Document Summarization

arXiv 2212.01669 ↗First posted 3 Dec 2022cs.CLcited by 14

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Abstract (arXiv)

The internet has had a dramatic effect on the healthcare industry, allowing documents to be saved, shared, and managed digitally. This has made it easier to locate and share important data, improving patient care and providing more opportunities for medical studies. As there is so much data accessible to doctors and patients alike, summarizing it has become increasingly necessary - this has been supported through the introduction of deep learning and transformer-based networks, which have boosted the sector significantly in recent years. This paper gives a comprehensive survey of the current techniques and trends in medical summarization

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 61 of its 135 references that are in the map. First posted on arXiv 3 Dec 2022.

Builds on

61 of 135 references.

References · 61

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38 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 6; 2024: 3; 2025: 4; 2026: 1.

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  1. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  2. 2025A Survey of Multilingual Reasoning in Language Modelscited by 31
  3. 2023APPLS: Evaluating Evaluation Metrics for Plain Language Summarizationcited by 15
  4. 2023ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learningcited by 15
  5. 2023SummQA at MEDIQA-Chat 2023:In-Context Learning with GPT-4 for Medical Summarizationcited by 13
  6. 2023SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarizationcited by 11
  7. 2023GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learningcited by 9
  8. 2025Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarizationcited by 5
  9. 2025CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMscited by 4
  10. 2023Enhancing Summarization Performance through Transformer-Based Prompt Engineering in Automated Medical Reportingcited by 3
  11. 2025Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sportscited by 3
  12. 2024Leveraging language models for summarizing mental state examinations: A comprehensive evaluation and dataset releasecited by 2
2 more
  1. 2024Real-time Speech Summarization for Medical Conversationscited by 2
  2. 2026M3 QuestionIng: Multi-modal Multi-span Medical Question Answeringcited by 0