A systematic meta-review of patient-level predictors of psychological therapy outcome in major depressive disorder
M Tanguay-Sela, C Rollins, T Perez, V Qiang… - Journal of affective …, 2022 - Elsevier
Background Psychological therapies are effective for treating major depressive disorder, but
current clinical guidelines do not provide guidance on the personalization of treatment …
current clinical guidelines do not provide guidance on the personalization of treatment …
[HTML][HTML] BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
In this paper, we developed BreastScreening-AI within two scenarios for the classification of
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
multimodal beast images:(1) Clinician-Only; and (2) Clinician-AI. The novelty relies on the …
Modeling adoption of intelligent agents in medical imaging
Artificial intelligence has the potential to transform many application domains fundamentally.
One notable example is clinical radiology. A growing number of decision-making support …
One notable example is clinical radiology. A growing number of decision-making support …
Artificial intelligence in mental healthcare: an overview and future perspectives
Artificial intelligence is disrupting the field of mental healthcare through applications in
computational psychiatry, which leverages quantitative techniques to inform our …
computational psychiatry, which leverages quantitative techniques to inform our …
A resource-constrained and privacy-preserving edge-computing-enabled clinical decision system: A federated reinforcement learning approach
Internet-of-Things-enabled E-health system, which could monitor and collect the personal
health information (PHI), has gradually transformed the clinical treatment to a more …
health information (PHI), has gradually transformed the clinical treatment to a more …
Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets
Major depressive disorder (MDD) is the leading cause of disability worldwide, yet treatment
selection still proceeds via “trial and error”. Given the varied presentation of MDD and …
selection still proceeds via “trial and error”. Given the varied presentation of MDD and …
Artificial neural networks to assess virtual reality anterior cervical discectomy performance
BACKGROUND Virtual reality surgical simulators provide a safe environment for trainees to
practice specific surgical scenarios and allow for self-guided learning. Artificial intelligence …
practice specific surgical scenarios and allow for self-guided learning. Artificial intelligence …
[HTML][HTML] Evaluating the clinical feasibility of an artificial intelligence–powered, web-based clinical decision support system for the treatment of depression in adults …
C Popescu, G Golden, D Benrimoh… - JMIR formative …, 2021 - formative.jmir.org
Background: Approximately two-thirds of patients with major depressive disorder do not
achieve remission during their first treatment. There has been increasing interest in the use …
achieve remission during their first treatment. There has been increasing interest in the use …
Applying artificial intelligence to clinical decision support in mental health: What have we learned?
Clinical decision support systems (CDSS) augmented with artificial intelligence (AI) models
are emerging as potentially valuable tools in healthcare. Despite their promise, the …
are emerging as potentially valuable tools in healthcare. Despite their promise, the …
Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression …
BackgroundRecently, artificial intelligence-powered devices have been put forward as
potentially powerful tools for the improvement of mental healthcare. An important question is …
potentially powerful tools for the improvement of mental healthcare. An important question is …