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大数据时代、数字化、5G 和人工智能时代的解剖病理学(人体结构生物病理学):是进化还是革命?

Anatomical pathology (human structural biopathology) in the era of "Big Data", digitalization, 5G and artificial intelligence: Evolution or Revolution?

机构信息

Facultad de Medicina, Universidad de Alcalá, Madrid, Spain.

出版信息

Rev Esp Patol. 2020 Oct-Dec;53(4):226-231. doi: 10.1016/j.patol.2020.04.001. Epub 2020 May 27.

DOI:10.1016/j.patol.2020.04.001
PMID:33012492
Abstract

A proposal of an updated system of the Organization of Scientific Biomedical Kowledge is presented, integrating the historical achievements in pathology from the 15 to the 21 century. Scientific understanding of disease (Human Biopathology) is actually acquired at consecutive levels: 1) Etiopathogenic, 2) Structural, 3) Physiopathological, and 4) Clinical. A complete spectrum of etiological factors is presented. A new organization of the structural basis of disease processes (Human Structural Biopathology) is presented. Two unique polar types of cellular pathology are proposed: cellular injury and cellular change. Translation of these two types of cellular pathology into the integrative structural cytotissular levels, gives rise to only ten basic structural processes, that can be organized in three main cytotissular (CT) structural complexes: 1) CT maldevelopment that includes: congenital malformation(1), tumoral maldevelopment (2), hereditary non malformative congenital organopathy (3). 2) Complex of CT injury or non-hereditary organopathies (4), associating: CT necrosis-inflammatory reaction- repair. 3. complex of CT change: atrophy (5), hypertrophy (6), hyperplasia (7), metaplasia (8), dysplasia (9) and neoplasia (10). This system provides a precise basis for the organization of Human Biopathology, which could be applied to: 1) the development of a Universal Medical Curriculum, 2) Departamental Organization of a Faculty of Medicine, 3) the development of a New Global System for Disease Control. As we enter the era of Big Data, 5G, digitalization and artificial intelligence, a rational, scientific and efficient organization of biomedical information will be crucial in determining the success or failure of its applications to the health system.

摘要

提出了一个更新的科学生物医学知识组织系统的建议,整合了 15 至 21 世纪病理学的历史成就。对疾病的科学认识(人体病理解剖学)实际上是在连续的层次上获得的:1)病因发病学,2)结构,3)生理病理学,4)临床。提出了一个完整的病因因素谱。提出了一种新的疾病过程结构基础的组织学(人体结构病理解剖学)组织。提出了两种独特的细胞病理学极性类型:细胞损伤和细胞变化。将这两种类型的细胞病理学转化为整合的结构细胞学水平,仅产生十种基本的结构过程,可以在三个主要的细胞组织(CT)结构复合物中进行组织:1)CT 发育不良,包括:先天性畸形(1)、肿瘤性发育不良(2)、遗传性非畸形先天性器官病(3)。2)CT 损伤或非遗传性器官病复合(4),关联:CT 坏死-炎症反应-修复。3. CT 变化复合物:萎缩(5)、肥大(6)、增生(7)、化生(8)、发育不良(9)和肿瘤形成(10)。该系统为人体病理解剖学的组织提供了一个精确的基础,可以应用于:1)通用医学课程的发展,2)医学系的组织,3)新的全球疾病控制系统的发展。随着我们进入大数据、5G、数字化和人工智能时代,对生物医学信息的合理、科学和有效的组织将是决定其在卫生系统中的应用成败的关键。

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引用本文的文献

1
Big Data for Biomedical Education with a Focus on the COVID-19 Era: An Integrative Review of the Literature.大数据在生物医学教育中的应用:聚焦 COVID-19 时代的文献综合述评。
Int J Environ Res Public Health. 2021 Aug 26;18(17):8989. doi: 10.3390/ijerph18178989.