AIMC Topic: Patient Education as Topic
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Generative Artificial Intelligence Responses to Common Patient-Centric Hand and Wrist Surgery Questions: A Quality and Usability Analysis.
The journal of hand surgery Asian-Pacific volume
Jan 5, 2025
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 respo...
Assessing the performance of AI chatbots in answering patients' common questions about low back pain.
Annals of the rheumatic diseases
Jan 2, 2025
OBJECTIVES: The aim of this study was to assess the accuracy and readability of the answers generated by large language model (LLM)-chatbots to common patient questions about low back pain (LBP).
Artificial Doctors: Performance of Chatbots as a Tool for Patient Education on Keratoconus.
Eye & contact lens
Dec 31, 2024
PURPOSE: We aimed to compare the answers given by ChatGPT, Bard, and Copilot and that obtained from the American Academy of Ophthalmology (AAO) website to patient-written questions related to keratoconus in terms of accuracy, understandability, actio...
Can artificial intelligence improve patient educational material readability? A systematic review and narrative synthesis.
Internal medicine journal
Dec 25, 2024
Enhancing patient comprehension of their health is crucial in improving health outcomes. The integration of artificial intelligence (AI) in distilling medical information into a conversational, legible format can potentially enhance health literacy. ...
Readability, quality and accuracy of generative artificial intelligence chatbots for commonly asked questions about labor epidurals: a comparison of ChatGPT and Bard.
International journal of obstetric anesthesia
Dec 20, 2024
INTRODUCTION: Over 90% of pregnant women and 76% expectant fathers search for pregnancy health information. We examined readability, accuracy and quality of answers to common obstetric anesthesia questions from the popular generative artificial intel...
ChatGPT as a patient education tool in colorectal cancer-An in-depth assessment of efficacy, quality and readability.
Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
Dec 17, 2024
AIM: Artificial intelligence (AI) chatbots such as Chat Generative Pretrained Transformer-4 (ChatGPT-4) have made significant strides in generating human-like responses. Trained on an extensive corpus of medical literature, ChatGPT-4 has the potentia...
The impact of internet resources and artificial intelligence on information on myringotomy tubes.
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Dec 12, 2024
PURPOSE: To compare the quality and readability of patient education materials on myringotomy tubes from artificial intelligence and Google search.
Comparative evaluation of ChatGPT-4, ChatGPT-3.5 and Google Gemini on PCOS assessment and management based on recommendations from the 2023 guideline.
Endocrine
Dec 2, 2024
CONTEXT: Artificial intelligence (AI) is increasingly utilized in healthcare, with models like ChatGPT and Google Gemini gaining global popularity. Polycystic ovary syndrome (PCOS) is a prevalent condition that requires both lifestyle modifications a...
Assessing the efficacy of artificial intelligence to provide peri-operative information for patients with a stoma.
ANZ journal of surgery
Dec 2, 2024
BACKGROUND: Stomas present significant lifestyle and psychological challenges for patients, requiring comprehensive education and support. Current educational methods have limitations in offering relevant information to the patient, highlighting a po...
Reliability and quality of information provided by artificial intelligence chatbots on post-contrast acute kidney injury: an evaluation of diagnostic, preventive, and treatment guidance.
Revista da Associacao Medica Brasileira (1992)
Dec 2, 2024
OBJECTIVE: The aim of this study was to evaluate the reliability and quality of information provided by artificial intelligence chatbots regarding the diagnosis, preventive methods, and treatment of contrast-associated acute kidney injury, while also...
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