Integrated Traditional Chinese and Western Medicine a discipline pioneered in China is being advanced through deep integration with AI and other new technologies. This development is a crucial part of the country's medical innovation and healthcare progress in the new era.中西医结合医学是我国原创的医学学科,将人工智能等新技术与中西医结合深度融合,丰富和发展中西医结合医学学科,成为我国新时代医学创新和医疗卫生事业发展的重要组成部分。Based on the core concepts and methodologies of integrated Traditional Chinese and Western Medicine this book provides a comprehensive review of the latest advancements in artificial intelligence within the healthcare sector. It introduces cutting-edge technologies such as machine learning and deep learning and explores the potential of combining healthcare big data in the field of integrated medicine with AI.In terms of practical applications the book details the extensive use and innovative practices of AI across multiple areas. These include the intelligent application of TCM syndrome differentiation and treatment the integration of multi-modal data from both medical systems intelligent clinical therapy and rehabilitation smart healthcare management and scientific research and education.Regarding challenges and opportunities the book focuses on new developments in market opportunities policy support technological progress and ethical-legal aspects within the field. It also addresses technical challenges such as limited scale of foundational data insufficient embodiment of TCM thinking in models and difficulties in establishing standardized indicator systems and algorithmic benchmarks.Looking ahead and offering recommendations the book envisions the future development of AI in integrated Traditional Chinese and Western Medicine. It proposes nine key action recommendations including establishing comprehensive diagnosis and treatment standards building data-sharing platforms and strengthening industry-academia-research collaboration. These suggestions provide a developmental strategy for the deep integration of AI with integrated Traditional Chinese and Western Medicine.本书从中西医结合的核心理念与方法出发,全面梳理了人工智能在医疗健康领域的近期新进展,对机器学习、深度学习等前沿技术进行介绍,并探讨了中西医结合领域医疗健康大数据与人工智能结合的潜力。实际应用方面,详细介绍了人工智能在中医辨证施治智能化、中西医多模态数据融合、智能临床治疗和康复、智慧医疗管理、科研与教学等多个方面的广泛应用和创新实践。挑战与机遇方面,书中重点关注该领域在市场机会、政策支持、技术发展以及伦理法律方面的新动向,同时也探讨了基础数据规模、模型中中医思维体现不足、指标体系及算法标准难以建立等技术挑战。展望与建议方面,本书对中西医结合人工智能的未来发展前景进行畅想,并提出了确立全面诊疗标准、构建数据共享平台、加强产学研合作等九大行动建议,提供了中西医结合与人工智能深度融合的发展策略。
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