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| http://dx.doi.org/10.3389/frobt.2023.1189525 | DOI Listing |
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Evaluating AI performance in nephrology triage and subspecialty referrals.
Sci Rep
January 2025
Division of Nephrology and Hypertension, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in the context of the rising prevalence of kidney-related conditions with the aging global population. This study evaluates the utility of ChatGPT, a large language model, in triaging nephrology cases through simulated real-world scenarios. Two nephrologists created 100 patient cases that encompassed various aspects of nephrology.
View Article and Find Full Text PDFEvaluation of Chatbots in the Emergency Management of Avulsion Injuries.
Dent Traumatol
January 2025
Department of Paediatric Dentistry, Faculty of Dentistry, Mersin University, Mersin, Turkey.
Background: This study assessed the accuracy and consistency of responses provided by six Artificial Intelligence (AI) applications, ChatGPT version 3.5 (OpenAI), ChatGPT version 4 (OpenAI), ChatGPT version 4.0 (OpenAI), Perplexity (Perplexity.
View Article and Find Full Text PDFChatGPT's responses to questions related to radiofrequency ablation for varicose veins: Correspondence.
J Vasc Surg Venous Lymphat Disord
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Department of Pharmaceutical Sciences, University Centre for Research and Development, Chandigarh University Gharuan, Mohali, Punjab, India.
ChatGPT's Performance in Spinal Metastasis Cases-Can We Discuss Our Complex Cases with ChatGPT?
J Clin Med
December 2024
Department of Orthopedics and Trauma Surgery, Medical University of Vienna, 1090 Vienna, Austria.
The integration of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT-4, is transforming healthcare. ChatGPT's potential to assist in decision-making for complex cases, such as spinal metastasis treatment, is promising but widely untested. Especially in cancer patients who develop spinal metastases, precise and personalized treatment is essential.
View Article and Find Full Text PDFThe PDC30 Chatbot-Development of a Psychoeducational Resource on Dementia Caregiving Among Family Caregivers: Mixed Methods Acceptability Study.
JMIR Aging
January 2025
Department of Computing, Faculty of Computer and Mathematical Sciences, Hong Kong Polytechnic University, Hung Hom, China (Hong Kong).
Background: Providing ongoing support to the increasing number of caregivers as their needs change in the long-term course of dementia is a severe challenge to any health care system. Conversational artificial intelligence (AI) operating 24/7 may help to tackle this problem.
Objective: This study describes the development of a generative AI chatbot-the PDC30 Chatbot-and evaluates its acceptability in a mixed methods study.
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