BACKGROUND: Surgical consent forms convey critical information; yet, their complex language can limit patient comprehension. Large language models (LLMs) can simplify complex information and improve readability, but evidence of the impact of LLM-gene...
Ankylosing spondylitis (AS), which usually occurs in the second and third decades of life, is associated with chronic pain, limitation of mobility, and severe decreases in quality of life. This study aimed to make a comparative evaluation in terms of...
BACKGROUND: Medical reports, particularly radiology findings, are often written for professional communication, making them difficult for patients to understand. This communication barrier can reduce patient engagement and lead to misinterpretation. ...
BACKGROUND: Social media platforms are utilized by patients prior to scheduling formal consultations and also serve as a means of pursuing second opinions. Cerebrovascular pathologies require regular surveillance and specialized care. In recent years...
This study collected and screened the 50 most common pre-treatment consultation questions from adult orthodontic patients through clinical practice. Responses to these questions were generated using three large language models: Ernie Bot, ChatGPT, an...
PURPOSE: ChatGPT, a comprehensive language processing model, provides the opportunity for supportive and professional interactions with patients. However, its use to address patients' frequently asked questions (FAQs) and the readability of the text ...
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Apr 17, 2025
BACKGROUND: The purpose of this study was to evaluate Google Gemini's responses to common post-operative questions pertaining to breast reconstruction surgery.
BACKGROUND: Osteoporosis is a sex-specific disease. Postmenopausal osteoporosis (PMOP) has been the focus of public health research worldwide. The purpose of this study is to evaluate the quality and readability of artificial intelligence large-scale...
OBJECTIVE: This study aimed to evaluate and compare the performance of several large language models (LLMs) in the context of restorative dentistry and endodontics, focusing on their accuracy, consistency, and contextual understanding.
BACKGROUND: Artificial intelligence (AI) chatbots are increasingly used in healthcare to address patient questions by providing personalized responses. Evaluating their performance is essential to ensure their reliability. This study aimed to assess ...
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