Fuchs Thomas
Karl-Jaspers-Professor für Philosophie und Psychiatrie, Psychiatrische Universitätsklinik, Voßstr. 4, 69115, Heidelberg, Deutschland.
Nervenarzt. 2021 Nov;92(11):1149-1154. doi: 10.1007/s00115-021-01188-9. Epub 2021 Sep 13.
Digitalization and artificial intelligence hold the prospect of new procedures for psychiatry. Machine learning techniques combined with big data should enable algorithmized diagnostics, prediction and therapy that are superior to clinical observation and interaction in terms of accuracy and efficiency. This development converges with the search for new, statistically and biologically based disorder patterns to replace clinical psychopathological disease entities. This article examines the possibilities and the problems of a digitalized psychiatry.
数字化和人工智能为精神病学带来了新程序的前景。机器学习技术与大数据相结合应能实现算法化诊断、预测和治疗,在准确性和效率方面优于临床观察和互动。这一发展与寻找基于统计学和生物学的新疾病模式以取代临床精神病理学疾病实体的探索相契合。本文探讨了数字化精神病学的可能性和问题。