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Dementia Care Research and Psychosocial Factors.
Alzheimers Dement
December 2024
NYU Langone Health, New York, NY, USA.
Background: Large language models (LLMs) provide powerful natural language processing capabilities in medical and clinical tasks. Evaluating LLM performance is crucial due to potential false results. In this study, we assessed ChatGPT and Llama2, two state-of-the-art LLMs, in extracting information from clinical notes, focusing on cognitive tests, specifically the Mini Mental State Exam (MMSE) and Cognitive Dementia Rating (CDR).
View Article and Find Full Text PDFExpert evaluation of large language models for clinical dialogue summarization.
Sci Rep
January 2025
Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Level 6, 75 Talavera Road, North Ryde, Sydney, NSW, 2113, Australia.
We assessed the performance of large language models' summarizing clinical dialogues using computational metrics and human evaluations. The comparison was done between automatically generated and human-produced summaries. We conducted an exploratory evaluation of five language models: one general summarisation model, one fine-tuned for general dialogues, two fine-tuned with anonymized clinical dialogues, and one Large Language Model (ChatGPT).
View Article and Find Full Text PDFAssessing ChatGPT's Accuracy and Reliability in Asthma General Knowledge: Implications for Artificial Intelligence Use in Public Health Education.
J Asthma
January 2025
Department of Pharmaceutical Management, School of Pharmacy, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta.
Integrating Artificial Intelligence (AI) into public health education represents a pivotal advancement in medical knowledge dissemination, particularly for chronic diseases such as asthma. This study assesses the accuracy and comprehensiveness of ChatGPT, a conversational AI model, in providing asthma-related information. Employing a rigorous mixed-methods approach, healthcare professionals evaluated ChatGPT's responses to the Asthma General Knowledge Questionnaire for Adults (AGKQA), a standardized instrument covering various asthma-related topics.
View Article and Find Full Text PDFGenerative Artificial Intelligence Responses to Common Patient-Centric Hand and Wrist Surgery Questions: A Quality and Usability Analysis.
J Hand Surg Asian Pac Vol
January 2025
Department of Primary Care, Kansas City University College of Medicine, Kansas City, MO, USA.
Due to the rapid evolution of generative artificial intelligence (AI) and its implications on patient education, there is a pressing need to evaluate AI responses to patients' medical questions. This study assessed the quality and usability of responses received from two prominent AI platforms to common patient-centric hand and wrist surgery questions. Twelve commonly encountered hand and wrist surgery patient questions were inputted twice into both Gemini and ChatGPT, generating 48 responses.
View Article and Find Full Text PDFChatGPT as a Support Tool for Informed Consent and Preoperative Patient Education Prior to Penile Prosthesis Implantation.
J Clin Med
December 2024
Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Urology, Charitéplatz 1, 10117 Berlin, Germany.
: Artificial intelligence (AI), particularly natural language processing (NLP) models such as ChatGPT, presents novel opportunities for patient education and informed consent. This study evaluated ChatGPT's use as a support tool for informed consent before penile prosthesis implantation (PPI) in patients with erectile dysfunction (ED) following radical prostatectomy. : ChatGPT-4 answered 20 frequently asked questions across four categories: ED and treatment, PPI surgery, complications, and postoperative care.
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