LLMs-Healthcare : 大型语言模型在各医疗专科中的当前应用与挑战
LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties
AI总结：
本文综述了大型语言模型在医疗领域中的最新应用与挑战，涵盖诊断、治疗及各专科的创新贡献，探讨其在医疗诊断和患者护理中的潜力与限制。
摘要：
我们旨在全面概述利用大型语言模型（LLMs）在医疗领域中的最新进展，强调其在各医疗领域的变革性影响。LLMs已成为支持医疗行业的重要工具，包括医生、医疗提供者和患者。本文回顾了LLMs在医疗中的应用，特别是诊断和治疗相关功能。我们揭示了LLMs在癌症护理、皮肤科、牙科、神经退行性病变和心理健康领域的应用，突显其在医疗诊断和患者护理中的创新贡献。在分析过程中，我们探讨了将LLMs整合到医疗中所面临的挑战和机遇，尽管存在限制，但其在各医疗专科中的潜力仍然值得认可。此外，我们还概述了医疗领域处理多样化数据类型的方法。
英文摘要：
We aim to present a comprehensive overview of the latest advancements in utilizing Large Language Models (LLMs) within the healthcare sector, emphasizing their transformative impact across various medical domains. LLMs have become pivotal in supporting healthcare, including physicians, healthcare providers, and patients. Our review provides insight into the applications of Large Language Models (LLMs) in healthcare, specifically focusing on diagnostic and treatment-related functionalities. We shed light on how LLMs are applied in cancer care, dermatology, dental care, neurodegenerative disorders, and mental health, highlighting their innovative contributions to medical diagnostics and patient care. Throughout our analysis, we explore the challenges and opportunities associated with integrating LLMs in healthcare, recognizing their potential across various medical specialties despite existing limitations. Additionally, we offer an overview of handling diverse data types within the medical field.
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。
