Literature DB >> 34515809

[Digitalized psychiatry : Critical considerations on a new paradigm].

Thomas Fuchs1.   

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.
© 2021. Springer Medizin Verlag GmbH, ein Teil von Springer Nature.

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


  16 in total

Review 1.  [Big data approaches in psychiatry: examples in depression research].

Authors:  D Bzdok; T M Karrer; U Habel; F Schneider
Journal:  Nervenarzt       Date:  2018-08       Impact factor: 1.214

2.  The digital phenotype.

Authors:  Sachin H Jain; Brian W Powers; Jared B Hawkins; John S Brownstein
Journal:  Nat Biotechnol       Date:  2015-05       Impact factor: 54.908

3.  Ethics, Transparency, and Public Health at the Intersection of Innovation and Facebook's Suicide Prevention Efforts.

Authors:  Ian Barnett; John Torous
Journal:  Ann Intern Med       Date:  2019-02-12       Impact factor: 25.391

Review 4.  [Between psyche and brain : State of the art in psychiatry].

Authors:  T Fuchs
Journal:  Nervenarzt       Date:  2017-05       Impact factor: 1.214

5.  Digital phenotyping: a global tool for psychiatry.

Authors:  Thomas R Insel
Journal:  World Psychiatry       Date:  2018-10       Impact factor: 49.548

6.  [Digital phenotyping. Contra].

Authors:  Gerhard Gründer
Journal:  Nervenarzt       Date:  2020-09       Impact factor: 1.214

7.  Relapse prediction in schizophrenia through digital phenotyping: a pilot study.

Authors:  Ian Barnett; John Torous; Patrick Staples; Luis Sandoval; Matcheri Keshavan; Jukka-Pekka Onnela
Journal:  Neuropsychopharmacology       Date:  2018-02-22       Impact factor: 7.853

8.  Digital Phenotyping: Technology for a New Science of Behavior.

Authors:  Thomas R Insel
Journal:  JAMA       Date:  2017-10-03       Impact factor: 56.272

9.  A smartphone application to support recovery from alcoholism: a randomized clinical trial.

Authors:  David H Gustafson; Fiona M McTavish; Ming-Yuan Chih; Amy K Atwood; Roberta A Johnson; Michael G Boyle; Michael S Levy; Hilary Driscoll; Steven M Chisholm; Lisa Dillenburg; Andrew Isham; Dhavan Shah
Journal:  JAMA Psychiatry       Date:  2014-05       Impact factor: 21.596

Review 10.  "Cognitive dysmetria" as an integrative theory of schizophrenia: a dysfunction in cortical-subcortical-cerebellar circuitry?

Authors:  N C Andreasen; S Paradiso; D S O'Leary
Journal:  Schizophr Bull       Date:  1998       Impact factor: 9.306

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