Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44639, first published .
Patient Information Summarization in Clinical Settings: Scoping Review

Patient Information Summarization in Clinical Settings: Scoping Review

Patient Information Summarization in Clinical Settings: Scoping Review

Journals

  1. Munro C, Swamy L. Documentation, Data, and Decision-Making. American Journal of Critical Care 2024;33(3):162 View
  2. Chen W, Howard K, Gorham G, Abeyaratne A, Zhao Y, Adegboye O, Kangaharan N, Taylor S, Maple-Brown L, Heard S, Talukder M, Baghbanian A, Majoni S, Cass A, Lloyd A, Bell A, Connors C, Castillon C, McGuiness D, Kennedy E, Jobst J, Moore L, Shorthouse M, Garrawurra N, Rosas N, George P, Nair R, Bond R, Forbes R, Ogilvie R, Daroch S, King V. Cost-Effectiveness of Clinical Decision Support to Improve CKD Outcomes Among First Nations Australians. Kidney International Reports 2025;10(2):549 View
  3. Bednarczyk L, Reichenpfader D, Gaudet-Blavignac C, Ette A, Zaghir J, Zheng Y, Bensahla A, Bjelogrlic M, Lovis C. Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review. Journal of Medical Internet Research 2025;27:e68998 View
  4. Ferreira A, Rocha L, Cunha W, Machado A, Campos J, Jallais G, Viana A, Tuler E, Araújo I, Macul V, Souza Neto O, de Souza Júnior A, de Pinho Souza G, Pallone J, Dumbá Soares M, Santos W, Gonçalves M. A comprehensive qualitative analysis of patient dialogue summarization using large language models applied to noisy, informal, non-English real-world data. Scientific Reports 2025;15(1) View
  5. Arısoy A. A Hybrid Retrieval-And-Generation Framework For Radiology Report Summarization With Faiss Indexing and T5 Transformers. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2025;29(2):483 View

Conference Proceedings

  1. Sadiq M, Tariq R, Ullah A, Panezai J. 2024 2nd International Conference on Foundation and Large Language Models (FLLM). From Pixels to Paragraphs: Extraction of Text from Medical Reports using LLMs, Systematic Literature Review View