中山大学最新Cell子刊：AI能够帮助医生克服技术障碍，但存在依赖风险

Core Insights - The article discusses the integration of interdisciplinary research in fields such as biology, chemistry, and computer science, highlighting its role in advancing digital medicine and healthcare services [2] - Despite the potential of technologies like artificial intelligence (AI) in biomedicine, their widespread application is hindered by technical barriers and limited expertise among physicians [2][5] - A recent study demonstrated that large language models (LLMs) can assist physicians in overcoming these technical challenges, although concerns about dependency and misinformation remain [3][6] Study Findings - A randomized controlled trial involving 64 primary ophthalmologists showed that the use of LLMs like ChatGPT-3.5 significantly improved project completion rates from 25% to 87.5% [5][7] - After a two-week washout period, 41.2% of successful intervention participants were able to complete new projects independently without LLM support [5][7] - The study identified potential risks associated with LLMs, including the tendency for physicians to rely on AI-generated information without full understanding [5][9] Implications - The findings suggest that LLMs can democratize medical AI research by helping physicians navigate design, execution, and reporting challenges [9] - However, the long-term risks of dependency on LLMs warrant further investigation to ensure safe and effective use in clinical settings [6][9]