{Reference Type}: Journal Article
{Title}: Anatomical pathology (human structural biopathology) in the era of "Big Data", digitalization, 5G and artificial intelligence: Evolution or Revolution?
{Author}: Sánchez Fernández de la Vega J;
{Journal}: Rev Esp Patol
{Volume}: 53
{Issue}: 4
{Year}: Oct 2020 0
暂无{DOI}: 10.1016/j.patol.2020.04.001
{Abstract}: A proposal of an updated system of the Organization of Scientific Biomedical Kowledge is presented, integrating the historical achievements in pathology from the 15th to the 21st 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.