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ChatGPT and Clinical Questions on the Practical Guideline of Blepharoptosis: Reply.

Aesthetic plastic surgery
In a recent Letter to the Editor authored by Daungsupawong et al. in Aesthetic Plastic Surgery, titled "ChatGPT and Clinical Questions on the Practical Guideline of Blepharoptosis: Correspondence," the authors emphasized important points regarding th...

The performance of artificial intelligence large language model-linked chatbots in surgical decision-making for gastroesophageal reflux disease.

Surgical endoscopy
BACKGROUND: Large language model (LLM)-linked chatbots may be an efficient source of clinical recommendations for healthcare providers and patients. This study evaluated the performance of LLM-linked chatbots in providing recommendations for the surg...

Harnessing artificial intelligence in bariatric surgery: comparative analysis of ChatGPT-4, Bing, and Bard in generating clinician-level bariatric surgery recommendations.

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: The formulation of clinical recommendations pertaining to bariatric surgery is essential in guiding healthcare professionals. However, the extensive and continuously evolving body of literature in bariatric surgery presents considerable c...

Performance of ChatGPT in Answering Clinical Questions on the Practical Guideline of Blepharoptosis.

Aesthetic plastic surgery
BACKGROUND: ChatGPT is a free artificial intelligence (AI) language model developed and released by OpenAI in late 2022. This study aimed to evaluate the performance of ChatGPT to accurately answer clinical questions (CQs) on the Guideline for the Ma...

Evaluating ChatGPT's Utility in Medicine Guidelines Through Web Search Analysis.

The Permanente journal
INTRODUCTION: With the rise of machine learning applications in health care, shifts in medical fields that rely on precise prognostic models and pattern detection tools are anticipated in the near future. Chat Generative Pretrained Transformer (ChatG...

What predicts citation counts and translational impact in headache research? A machine learning analysis.

Cephalalgia : an international journal of headache
BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the translational impact, defined as inclusion in guidelines or policy documents, of headache research, and assess which factors are most predictive.

Comparative analysis of artificial intelligence chatbot recommendations for urolithiasis management: A study of EAU guideline compliance.

The French journal of urology
OBJECTIVES: Artificial intelligence (AI) applications are increasingly being utilized by both patients and physicians for accessing medical information. This study focused on the urolithiasis section (pertaining to kidney and ureteral stones) of the ...