语言模型在现代医疗保健中的作用：全面综述
The Role of Language Models in Modern Healthcare: A Comprehensive Review
AI总结：
本文全面综述了大型语言模型在现代医疗保健中的应用，探讨其从早期到当前最先进模型的发展轨迹、在医疗文档与诊断中的优势，以及数据隐私、偏见等挑战，并提出了合乎伦理地融入医疗实践的必要步骤。
摘要：
大型语言模型（LLMs）在医疗保健领域的应用因其处理复杂医疗数据和为临床决策提供洞察的能力而备受关注。这些模型在理解和生成自然语言方面展现出巨大能力，这对于医疗文档记录、诊断和患者互动至关重要。本综述考察了语言模型从早期阶段到当前最先进的LLMs的发展轨迹，强调了它们在医疗保健应用中的优势，并讨论了数据隐私、偏见和伦理考量等挑战。文章探讨了LLMs提升医疗保健服务的潜力，以及确保其合乎伦理且有效地融入医疗实践的必要步骤。
英文摘要：
The application of large language models (LLMs) in healthcare has gained significant attention due to their ability to process complex medical data and provide insights for clinical decision-making. These models have demonstrated substantial capabilities in understanding and generating natural language, which is crucial for medical documentation, diagnostics, and patient interaction. This review examines the trajectory of language models from their early stages to the current state-of-the-art LLMs, highlighting their strengths in healthcare applications and discussing challenges such as data privacy, bias, and ethical considerations. The potential of LLMs to enhance healthcare delivery is explored, alongside the necessary steps to ensure their ethical and effective integration into medical practice.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
