Novel and emerging treatments for major depression
Depression is common, costly, debilitating, and associated with increased risk of suicide. It is
one of the leading global public health problems. Although existing available …
one of the leading global public health problems. Although existing available …
Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis
Background Multiple treatments are effective for major depressive disorder (MDD), but the
outcomes of each treatment vary broadly among individuals. Accurate prediction of …
outcomes of each treatment vary broadly among individuals. Accurate prediction of …
The promise of machine learning in predicting treatment outcomes in psychiatry
For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …
medications or psychotherapies, in order to personalize their treatment choices. There is …
[HTML][HTML] Identifying transdiagnostic mechanisms in mental health using computational factor modeling
Most psychiatric disorders do not occur in isolation, and most psychiatric symptom
dimensions are not uniquely expressed within a single diagnostic category. Current …
dimensions are not uniquely expressed within a single diagnostic category. Current …
[HTML][HTML] Randomized controlled trials of artificial intelligence in clinical practice: systematic review
TYT Lam, MFK Cheung, YL Munro, KM Lim… - Journal of Medical …, 2022 - jmir.org
Background The number of artificial intelligence (AI) studies in medicine has exponentially
increased recently. However, there is no clear quantification of the clinical benefits of …
increased recently. However, there is no clear quantification of the clinical benefits of …
Heterogeneity of treatment effects in trials on psychotherapy of depression.
T Kaiser, C Volkmann, A Volkmann… - … Science and Practice, 2022 - psycnet.apa.org
Practitioners and researchers alike assume that there is individual variability in the effects of
treatments for mental disorders. However, for psychotherapy, up to now this assumption has …
treatments for mental disorders. However, for psychotherapy, up to now this assumption has …
Predicting treatment outcome in depression: an introduction into current concepts and challenges
Improving response and remission rates in major depressive disorder (MDD) remains an
important challenge. Matching patients to the treatment they will most likely respond to …
important challenge. Matching patients to the treatment they will most likely respond to …
Real-world implementation of precision psychiatry: A systematic review of barriers and facilitators
Background: Despite significant research progress surrounding precision medicine in
psychiatry, there has been little tangible impact upon real-world clinical care. Objective: To …
psychiatry, there has been little tangible impact upon real-world clinical care. Objective: To …
Effectiveness of common antidepressants: a post market release study
Background This study summarizes the experiences of patients, who have multiple
comorbidities, with 15 mono-treated antidepressants. Methods This is a retrospective …
comorbidities, with 15 mono-treated antidepressants. Methods This is a retrospective …
[HTML][HTML] Patient-reported outcome measures for monitoring primary care patients with depression: the PROMDEP cluster RCT and economic evaluation.
BACKGROUND Guidelines on the management of depression recommend that practitioners
use patient-reported outcome measures for the follow-up monitoring of symptoms, but there …
use patient-reported outcome measures for the follow-up monitoring of symptoms, but there …