Literature DB >> 29781887

Speculations on the Future of Psychiatric Diagnosis.

A John Rush, Hisham M Ibrahim1.   

Abstract

The Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-V), criterion symptom listings are frequently used in clinical practice as checklists to make diagnoses. However, most DSM-V conditions are, in fact, syndromes, that is, collections of signs and symptoms that commonly occur together in the clinic. This report discusses the value of syndromes in medicine and psychiatry. It is argued that a more precise future enumeration of brain circuits and the pathogenesis of psychiatric conditions will help us better understand and treat psychiatric syndromes, but they are unlikely to eliminate the need to categorize psychiatric conditions. We expect that biomarkers will play an increasingly critical role in psychiatric diagnosis. Beyond a better mechanistic understanding of the DSM-V syndromes, future diagnostic efforts will need to increase the focus on function and address risk factors for nonresponse and relapse. We suggest that new artificial intelligence advances will increase the efficiency and acceptability of psychiatric diagnosis and assist with treatment delivery.

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Year:  2018        PMID: 29781887     DOI: 10.1097/NMD.0000000000000821

Source DB:  PubMed          Journal:  J Nerv Ment Dis        ISSN: 0022-3018            Impact factor:   2.254


  4 in total

1.  Acylcarnitine metabolomic profiles inform clinically-defined major depressive phenotypes.

Authors:  Ahmed T Ahmed; Siamak MahmoudianDehkordi; Sudeepa Bhattacharyya; Matthias Arnold; Duan Liu; Drew Neavin; M Arthur Moseley; J Will Thompson; Lisa St John Williams; Gregory Louie; Michelle K Skime; Liewei Wang; Patricio Riva-Posse; William M McDonald; William V Bobo; W Edward Craighead; Ranga Krishnan; Richard M Weinshilboum; Boadie W Dunlop; David S Millington; A John Rush; Mark A Frye; Rima Kaddurah-Daouk
Journal:  J Affect Disord       Date:  2019-11-30       Impact factor: 4.839

Review 2.  Machine learning as the new approach in understanding biomarkers of suicidal behavior.

Authors:  Alja Videtič Paska; Katarina Kouter
Journal:  Bosn J Basic Med Sci       Date:  2021-08-01       Impact factor: 3.363

3.  Pilot Study of Metabolomic Clusters as State Markers of Major Depression and Outcomes to CBT Treatment.

Authors:  Sudeepa Bhattacharyya; Boadie W Dunlop; Siamak Mahmoudiandehkordi; Ahmed T Ahmed; Gregory Louie; Mark A Frye; Richard M Weinshilboum; Ranga R Krishnan; A John Rush; Helen S Mayberg; W Edward Craighead; Rima Kaddurah-Daouk
Journal:  Front Neurosci       Date:  2019-09-12       Impact factor: 4.677

4.  Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.

Authors:  Leonard Bickman
Journal:  Adm Policy Ment Health       Date:  2020-09
  4 in total

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