Psychiatry

The power of context: Enhancing repetitive transcranial magnetic stimulation effects through skillful behavior.

INTRODUCTION: Non-invasive neuromodulation techniques like repetitive transcranial magnetic stimulat...

Predictive neuroimaging biomarkers of major depressive disorder treatment response: An umbrella review.

Major depressive disorder (MDD) is a heterogeneous condition with varied responses to pharmacologica...

[Simulated consciousness, pseudo-empathy and the illusion of attachment: what can psychiatry do with artificial intelligence?].

Over the past decade, the burden of mental disorders has grown while services remain capacity-constr...

Challenges in translating AI-driven ASD/ADHD diagnosis: A methodological systematic review.

BACKGROUND: Early and accurate diagnosis of neurodevelopmental disorders (NDDs), including autism sp...

Machine learning-based risk classification of depressive symptoms among patients with hearing loss: evidence from the Health and Retirement Study (HRS).

BACKGROUND: Depression is a common and debilitating condition among individuals with hearing loss, s...

Imaging and machine learning reveal pigment ring spatial characteristics in vitiligo progression.

BACKGROUND: Vitiligo is a chronic autoimmune disorder causing skin depigmentation due to melanocyte ...

Presence hallucination induction through robotically mediated somatomotor conflicts: A pooled analysis of 25 experiments.

Hallucinations are significant symptoms in psychiatric and neurodegenerative diseases, that may indi...

Prediction of post-COVID chronic fatigue syndrome using data mining and machine learning techniques in Isfahan COVID cohort study.

BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering f...

Multimorbidity and major adverse cardiovascular events in antipsychotic users: Time-to-event prediction by explainable machine learning.

Antipsychotic treatment is associated with higher risk of major adverse cardiovascular events (MACEs...

The relationship between artificial intelligence literacy and artificial intelligence anxiety: A cross-sectional study among pediatric nurses.

AIM: This study aimed to investigate the relationship between pediatric nurses' levels of artificial...

Bipolar disorder relapse detection and prediction using smartwatches. A pilot study for machine learning models using anomaly detection methods.

BACKGROUND: Bipolar disorder (BD) is a chronic mental illness with recurrent mood episodes, with up ...

Prediction model for frailty risk in ischemic stroke patients: Application and validation of support vector machines and nomograms.

This study aimed to develop a prediction model based on nomograms and support vector machines (SVM) ...

To be Healed or Hacked? - User-Centered Ethical Design for Embodied AI in Mental Health Care.

The global prevalence of mental health disorders has created a substantial treatment gap. To support...

The impact of the radical urbanization index on depression risk among middle-aged and elderly Chinese: Evidence from a large-scale cross-sectional study.

BACKGROUND: Rapid urbanization in China, while boosting socioeconomic development, has triggered "ra...

Comparing barriers to employee assistance program utilization in Canada and the United States using natural language processing and machine learning.

Employee Assistance Program (EAP)s provide critical mental health support, yet utilization remains l...

The impact of frailty on the survival prognosis of maintenance hemodialysis patients and the construction and validation of a survival prediction model.

OBJECTIVE: This study aims to examine the impact of frailty on the survival outcomes of patients und...

Using natural language processing to assess MDD psychotherapy patterns among Veterans Affairs patients with suicide risk.

Major depressive disorder (MDD) is a leading risk factor for suicide. Within the US Department of Ve...

Second-to-fourth digit (2D:4D) ratio and criminal involvement in schizophrenia.

Speech analysis for differentiating bipolar disorder and major depressive disorder during euthymic states.

Human in the loop: Balancing artificial intelligence, clinical judgment, and legal responsibility.

Artificial intelligence (AI) is increasingly integrated into mental health care, legal decision-maki...

Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach.

INTRODUCTION: Postherpetic neuralgia (PHN) is a common complication of herpes zoster (HZ). This stud...