| Literature DB >> 34515809 |
Abstract
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.Entities:
Keywords: Artificial intelligence; Digital phenotyping; Interaction; Psychopathology; Subjectivity
Mesh:
Year: 2021 PMID: 34515809 DOI: 10.1007/s00115-021-01188-9
Source DB: PubMed Journal: Nervenarzt ISSN: 0028-2804 Impact factor: 1.214