This paper is in the following e-collection/theme issue:

Diagnostic Tools in Mental Health (326) Clinical Informatics (1325) Clinical Information and Decision Making (1915) Methods and Instruments in Medical Informatics (189)

Published on in Vol 8, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20865, first published .
Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study

Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study

Knowledge-Infused Abstractive Summarization of Clinical Diagnostic Interviews: Framework Development Study

Authors of this article:

Gaur Manas1 Author Orcid Image ;   Vamsi Aribandi2 Author Orcid Image ;   Ugur Kursuncu1 Author Orcid Image ;   Amanuel Alambo2 Author Orcid Image ;   Valerie L Shalin3 Author Orcid Image ;   Krishnaprasad Thirunarayan2 Author Orcid Image ;   Jonathan Beich4 Author Orcid Image ;   Meera Narasimhan5 Author Orcid Image ;   Amit Sheth1 Author Orcid Image
Article Authors Cited by (11) Tweetations (1) Metrics

Journals

  1. Samsudeen S, Ali M, Vignesh C, Kamruzzaman M, Prakash C, Thirugnanam T, Daniel J. Context-specific discussion of Airbnb usage knowledge graphs for improving private social systems. Journal of Combinatorial Optimization 2023;45(2) View
  2. Gaur M, Gunaratna K, Bhatt S, Sheth A. Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI. IEEE Internet Computing 2022;26(4):5 View
  3. Chaves A, Kesiku C, Garcia-Zapirain B. Automatic Text Summarization of Biomedical Text Data: A Systematic Review. Information 2022;13(8):393 View
  4. Keszthelyi D, Gaudet-Blavignac C, Bjelogrlic M, Lovis C. Patient Information Summarization in Clinical Settings: Scoping Review. JMIR Medical Informatics 2023;11:e44639 View
  5. Siriwardhana S, Gupta C, Kaluarachchi T, Dissanayake V, Ellawela S, Nanayakkara S. Can AI Models Summarize Your Diary Entries? Investigating Utility of Abstractive Summarization for Autobiographical Text. International Journal of Human–Computer Interaction 2024;40(24):8655 View
  6. Zhou B, Yang G, Shi Z, Ma S. Natural Language Processing for Smart Healthcare. IEEE Reviews in Biomedical Engineering 2024;17:4 View
  7. Adhikary P, Srivastava A, Kumar S, Singh S, Manuja P, Gopinath J, Krishnan V, Gupta S, Deb K, Chakraborty T. Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: Benchmark Study. JMIR Mental Health 2024;11:e57306 View
  8. Xia T, Bertini F, Montesi D. Large Language Models Evaluation for PubMed Extractive Summarisation. ACM Transactions on Computing for Healthcare 2025 View

Conference Proceedings

  1. Alambo A, Banerjee T, Thirunarayan K, Raymer M. 2022 26th International Conference on Pattern Recognition (ICPR). Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature View
  2. Tiwari A, Saha A, Saha S, Bhattacharyya P, Dhar M. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization View
  3. Khan F, Hajiarbabi M. 2025 6th International Conference on Data Intelligence and Cognitive Informatics (ICDICI). LLM-Powered Diagnostic Decision Support System Integrated with Electronic Health Records View