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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448263 | PMC |
| http://dx.doi.org/10.1016/j.imr.2023.100977 | DOI Listing |
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[Efficiency of different large language models in China in response to consultations about PCa-related perioperative nursing and health education].
Zhonghua Nan Ke Xue
February 2024
Department of Urology, General Hospital of Eastern Theater Command, Nanjing, Jiangsu 210002, China.
Objective: To evaluate the efficiency of the four domestic language models, ERNIE Bot, ChatGLM2, Spark Desk and Qwen-14B-Chat, all with a massive user base and significant social attention, in response to consultations about PCa-related perioperative nursing and health education.
Methods: We designed a questionnaire that includes 15 questions commonly concerned by patients undergoing radical prostatectomy and 2 common nursing cases, and inputted the questions into each of the four language models for simulation consultation. Three nursing experts assessed the model responses based on a pre-designed Likert 5-point scale in terms of accuracy, comprehensiveness, understandability, humanistic care, and case analysis.
Readability of Information Generated by ChatGPT for Hidradenitis Suppurativa.
JMIR Dermatol
August 2024
Department of Dermatology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.
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Material And Methods: ChatGPT was asked 5 questions about surgical management of inguinal hernias. The chat-bot was assigned the role of expert in herniology and requested to search only specialized medical databases and provide information about references and evidence.
Comparative analysis of large language models in medical counseling: A focus on Helicobacter pylori infection.
Helicobacter
July 2024
Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Background: Large language models (LLMs) are promising medical counseling tools, but the reliability of responses remains unclear. We aimed to assess the feasibility of three popular LLMs as counseling tools for Helicobacter pylori infection in different counseling languages.
Materials And Methods: This study was conducted between November 20 and December 1, 2023.
Development of AI-generated medical responses using the ChatGPT for cancer patients.
Comput Methods Programs Biomed
September 2024
Department of Urology, Chungbuk National University Hospital, Cheongju, Republic of Korea; Department of Urology, Chungbuk National University College of Medicine, 1 Chungdae-ro, Seowon-gu, Cheongju, Chungcheongbuk-do 28644, Republic of Korea. Electronic address:
Background And Objective: To develop a healthcare chatbot service (AI-guided bot) that conducts real-time conversations using large language models to provide accurate health information to patients.
Methods: To provide accurate and specialized medical responses, we integrated several cancer practice guidelines. The size of the integrated meta-dataset was 1.
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