Gemini balance 使用

Diagnosis and prognostication in idiopathic normal pressure hydrocephalus (iNPH) remain challenging. This study examined whether large language models (LLMs) can classify neuropsychological test (NPT) summaries for identifying iNPH and exploring postoperative shunt responsiveness.

Artificial intelligence-supported large language models (LLMs) have become increasingly widespread in recent years in the health communication and patient education. Models such as ChatGPT, Claude, Gemini, and DeepSeek are used to provide information on complex medical topics, thanks to their natural language processing capabilities. This study compares the responses of models to 5 frequently asked questions about cochlear implants in terms of content and communication quality.

Large Language Models (LLMs) have shown promise in clinical applications but their performance in specialized areas such as sarcopenia remains understudied.