Literature DB >> 29916031

[Artificial intelligence in psychiatry-an overview].

A Meyer-Lindenberg1.   

Abstract

Artificial intelligence and the underlying methods of machine learning and neuronal networks (NN) have made dramatic progress in recent years and have allowed computers to reach superhuman performance in domains that used to be thought of as uniquely human. In this overview, the underlying methodological developments that made this possible are briefly delineated and then the applications to psychiatry in three domains are discussed: precision medicine and biomarkers, natural language processing and artificial intelligence-based psychotherapeutic interventions. In conclusion, some of the risks of this new technology are mentioned.

Entities:  

Keywords:  Biomarkers; Natural language processing; Neuronal networks; Psychopathology; Psychotherapy

Mesh:

Year:  2018        PMID: 29916031     DOI: 10.1007/s00115-018-0557-6

Source DB:  PubMed          Journal:  Nervenarzt        ISSN: 0028-2804            Impact factor:   1.214


  24 in total

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Authors:  F ROSENBLATT
Journal:  Psychol Rev       Date:  1958-11       Impact factor: 8.934

2.  A logical calculus of the ideas immanent in nervous activity. 1943.

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3.  Connectionism and cognitive architecture: a critical analysis.

Authors:  J A Fodor; Z W Pylyshyn
Journal:  Cognition       Date:  1988-03

Review 4.  Ecological momentary interventions in psychiatry.

Authors:  Inez Myin-Germeys; Annelie Klippel; Henrietta Steinhart; Ulrich Reininghaus
Journal:  Curr Opin Psychiatry       Date:  2016-07       Impact factor: 4.741

5.  Identifying multimodal signatures associated with symptom clusters: the example of the IMAGEMEND project.

Authors:  Sophia Frangou; Emanuel Schwarz; Andreas Meyer-Lindenberg
Journal:  World Psychiatry       Date:  2016-06       Impact factor: 49.548

Review 6.  Cure therapeutics and strategic prevention: raising the bar for mental health research.

Authors:  T R Insel; E M Scolnick
Journal:  Mol Psychiatry       Date:  2006-01       Impact factor: 15.992

Review 7.  Ecological momentary assessment of mood disorders and mood dysregulation.

Authors:  Ulrich W Ebner-Priemer; Timothy J Trull
Journal:  Psychol Assess       Date:  2009-12

Review 8.  Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications.

Authors:  Sandra Vieira; Walter H L Pinaya; Andrea Mechelli
Journal:  Neurosci Biobehav Rev       Date:  2017-01-10       Impact factor: 8.989

9.  Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain resting-state functional connectivity patterns of schizophrenia.

Authors:  Junghoe Kim; Vince D Calhoun; Eunsoo Shim; Jong-Hwan Lee
Journal:  Neuroimage       Date:  2015-05-15       Impact factor: 6.556

10.  Refining diagnosis of Parkinson's disease with deep learning-based interpretation of dopamine transporter imaging.

Authors:  Hongyoon Choi; Seunggyun Ha; Hyung Jun Im; Sun Ha Paek; Dong Soo Lee
Journal:  Neuroimage Clin       Date:  2017-09-10       Impact factor: 4.881

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  5 in total

Review 1.  [Wearables for context-triggered assessment in psychiatry].

Authors:  U W Ebner-Priemer; M Reichert; H Tost; A Meyer-Lindenberg
Journal:  Nervenarzt       Date:  2019-12       Impact factor: 1.214

Review 2.  [Digitalized psychiatry : Critical considerations on a new paradigm].

Authors:  Thomas Fuchs
Journal:  Nervenarzt       Date:  2021-09-13       Impact factor: 1.214

Review 3.  Language as a Window Into the Altered State of Consciousness Elicited by Psychedelic Drugs.

Authors:  Enzo Tagliazucchi
Journal:  Front Pharmacol       Date:  2022-03-22       Impact factor: 5.810

4.  Deep learning-based quantitative estimation of lymphedema-induced fibrosis using three-dimensional computed tomography images.

Authors:  Kyo-In Koo; Chang Ho Hwang; Hyewon Son; Suwon Lee; Kwangsoo Kim
Journal:  Sci Rep       Date:  2022-09-13       Impact factor: 4.996

Review 5.  [Cross-sectoral therapeutic concepts and innovative technologies: new opportunities for the treatment of patients with mental disorders].

Authors:  Dusan Hirjak; Ulrich Reininghaus; Urs Braun; Markus Sack; Heike Tost; Andreas Meyer-Lindenberg
Journal:  Nervenarzt       Date:  2021-03-05       Impact factor: 1.214

  5 in total

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