生成型人工智能,大型语言模型和聊天GPT在肌肉骨瘤学:当前的应用和未来的潜力
Tomas Zamora1, Paulina Salas1, Sebastian Zuñiga1
1Department of Orthopaedic Surgery. Pontificia Universidad Catolica de Chile, Santiago, Chile.
Journal of clinical orthopaedics and trauma
|August 21, 2025
概括
生成型人工智能 (AI),特别是大型语言模型 (LLM),在肌肉骨瘤学中为文献审查和诊断等任务提供了重大潜力. 负责任的整合是利用人工智能的关键
科学领域:
- 肌肉骨瘤学
- 人工智能
- 医疗信息学
背景情况:
- 生成型人工智能 (AI),特别是大型语言模型 (LLM),是影响医疗专业的转型技术.
- 它们可以处理自然语言,合成信息并产生类似人类的输出.
- 肌肉骨瘤学是人工智能应用快速出现的一个领域.
研究的目的:
- 审查目前在MSK瘤学中的LLM应用.
- 确定LLM在该领域的局限性和未来潜力.
- 研究LLM在推进精准医学和公平医疗保健方面的作用.
主要方法:
- 这篇叙述综述了MSK瘤学LLM应用的现有文献.
- 它考察了LLM在临床工作流程,患者教育和研究方面的能力.
- 该审查还考虑了人工智能整合带来的挑战和伦理影响.
主要成果:
- 在促进文献审查,提高患者教育和支持临床决策方面,LLM表现有前途.
- 他们可以通过解释报告和起草摘要来提高放射学和病理学工作流程的效率和准确性.
- 未来的应用包括实时的患者随访,咨询,信息传输和手术协助.
结论:
- 从诊断到患者护理,LLM有潜力显著提高MSK的瘤实践.
- 挑战包括不准确的风险,偏见,以及需要持续的人类监督.
- 负责和谨慎地整合LLM对于实现其在精准医学和医疗保健公平方面的好处至关重要.
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