Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning

Autor: Lyu, Mengxian, Peng, Cheng, Li, Xiaohan, Balian, Patrick, Bian, Jiang, Wu, Yonghui

Automatic text summarization (ATS) is an emerging technology to assist clinicians in providing continuous and coordinated care. This study presents an approach to summarize doctor-patient dialogues using generative large language models (LLMs). We de

Externí odkaz: http://arxiv.org/abs/2403.13089

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Risk Perception and Knowledge Following a Social Game-Based Tobacco Prevention Program for Adolescents: Pilot Randomized Comparative Trial.

Autor: Khalil G; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States., Ramirez E; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States., Khan M; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States., Zhao B; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States., Ribeiro N; Cancer Prevention Unit, Institute of Pathology and Molecular Immunology of University of Porto and Institute for Research and Innovation in Health, University of Porto, Porto, Portugal., Balian P; Warrington College of Business, University of Florida, Gainesville, FL, United States.

Publikováno v: JMIR serious games [JMIR Serious Games] 2024 Nov 05; Vol. 12, pp. e63296. Date of Electronic Publication: 2024 Nov 05.