Download full-text PDF

Source
http://dx.doi.org/10.1007/s00256-024-04656-wDOI Listing

Publication Analysis

Top Keywords

response chatgpt's
4
chatgpt's limited
4
limited accuracy
4
accuracy generating
4
generating anatomical
4
anatomical images
4
images medical
4
response
1
limited
1
accuracy
1

Similar Publications

Advances in artificial intelligence (AI), machine learning, and publicly accessible language model tools such as ChatGPT-3.5 continue to shape the landscape of modern medicine and patient education. ChatGPT's open access (OA), instant, human-sounding interface capable of carrying discussion on myriad topics makes it a potentially useful resource for patients seeking medical advice.

View Article and Find Full Text PDF

Various large language models (LLMs) can provide human-level medical discussions, but they have not been compared regarding rhinoplasty knowledge. To compare the leading LLMs in answering complex rhinoplasty consultation questions as evaluated by plastic surgeons. Ten open-ended rhinoplasty consultation questions were presented to ChatGPT-4o, Google Gemini, Claude, and Meta-AI LLMs.

View Article and Find Full Text PDF

Background: Patients are increasingly turning to the internet, and recently artificial intelligence engines (e.g., ChatGPT), for answers to common medical questions.

View Article and Find Full Text PDF

Objective: Coronary artery disease (CAD) is the leading cause of morbidity and mortality globally. The growing interest in natural language processing chatbots (NLPCs) has driven their inevitable widespread adoption in healthcare. The purpose of this study was to evaluate the accuracy and reproducibility of responses provided by NLPCs, such as ChatGPT, Gemini, and Bing, to frequently asked questions about CAD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!