平行胃肠:基于ACP的智能胃肠疾病诊疗

胃肠道为人体重要消化器官,胃肠疾病常见且病因复杂.为了推动胃肠疾病诊疗的智能化、精准化发展,有效传承医生的经验丰富,文中提出基于ACP理论的平行胃肠诊疗系统框架.ACP理论为平行智能的核心,由人工社会(Artificial Societies)、计算实验(Computational Experiments)、平行执行(Parallel Execution)三部分构成.在平行胃肠诊疗系统中,构建人工胃肠道(A)模拟胃肠疾病实际诊疗情况,运用计算实验(C)在人工胃肠平台上进行各类胃肠疾病诊疗实验并评估最佳诊疗方案,最终借助平行执行(P)实时地对实际胃肠诊疗进行导引,持续更新人工胃肠系统并优化诊疗方案,实现虚拟诊疗和实际诊疗之间的虚实互动.整个系统框架的构建融合知识图谱、深度学习、虚拟现实/增强现实、知识自动化等多种前沿技术,致力于优化胃肠疾病诊疗,推进健康中国建设.

Parallel Gastrointestine: An ACP-Based Approach for Intelligent Operations

The gastrointestinal system is an important organ for human to pick up energy from the foreign world. Causes of gastrointestinal diseases are multifactorial and complex. To develop intelligent and precise gastrointestinal diagnosis and excellent medical skills, a parallel gastrointestinal diagnosis system based on ACP theory is imposed in this paper. As the core of the parallel intelligence framework, the ACP theory consists of an artificial societies(A), computational experiments(C) and parallel execution(P). The artificial gastrointestinal systems are used to model the real complex diagnosis and treatment. The computational experiments are utilized to run various operations and evaluate the performance of results. Finally, the parallel execution is performed to constantly optimize the diagnosis schemes and realize virtual-real interaction guided diagnosis. With technologies of knowledge graph, deep learning, reality/augment reality and knowledge automation, the parallel gastrointestinal system is aimed to improve the accuracy and the efficiency of diagnosis and treatment, and contribute to a high level of national health.