Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Can speech reveal mental health status? A study of linguistic features across multiple samples of at-risk adults.

An urgent challenge in clinical science is the reliable detection of psychiatric risk in the afterma...

(4)
Jul 2026 42423687
A bibliometric analysis of global research trends and emerging hotspots on suicide and depression among children and adolescents.

BACKGROUND: Suicide and depression among children and adolescents represent critical global public h...

(3)
Jul 2026 42423797
[When AI is involved in making decisions. Ethical considerations on shared decision-making in psychotherapeutic-psychiatric treatment].

BACKGROUND: Artificial intelligence (AI) is on the rise in the treatment of persons with psychiatric...

(2)
Jul 2026 42423992
DepressLLM: Interpretable Domain-Adapted Language Model for Depression Detection from Real-World Narratives.

Advances in large language models (LLMs) have enabled a wide range of applications. However, depress...

(1)
Jul 2026 42424224
Portraying Ethical Risks of Medical AI: Mixed Methods Study From Connotation Definition to a Survey on Physicians' Cognition.

BACKGROUND: Ethical risks of medical artificial intelligence (AI) are a global concern, but existing...

(3)
Jul 2026 42424409
Recovery trajectories across intensive psychiatric settings: a multivariate analysis characterized by baseline profiles.

BACKGROUND: Understanding recovery variability in intensive psychiatric care is crucial, as variable...

(1)
Jul 2026 42424515
Artificial intelligence and machine learning for detecting suicidal ideation and related suicide outcomes among adolescents: A scoping review.

OBJECTIVE: This scoping review aimed to map the existing evidence on the application of artificial i...

(2)
Jul 2026 42424915
Multidisciplinary research priorities for artificial intelligence in mental health: a call to action.

The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the...

(1)
Jul 2026 42425118
Machine learning model based on spontaneous brain activity detected by functional MRI for distinguishing unipolar depression from bipolar disorder.

BACKGROUND: The therapeutic strategies for bipolar disorder (BD) and unipolar depression (UD) are qu...

(2)
Jul 2026 42425243
Baseline metabolic signature predicts cognitive improvement and longitudinal glycerophospholipid shifts track recovery in first-episode drug-naïve schizophrenia.

BACKGROUND: Cognitive impairment is a core yet treatment-resistant feature of schizophrenia (SZ), an...

(1)
Jul 2026 42425477
Enhancing the Effectiveness of Attention-Deficit/Hyperactivity Disorder Screening Using the SNAP-IV: A Deep Learning Approach.

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental condition requiring e...

(1)
Jul 2026 42421187
Predicting Psychiatric Readmission of Children and Adolescents Using Machine Learning.

INTRODUCTION: Recurrent psychiatric hospitalizations in youth are costly and burdensome to patients ...

(4)
Jul 2026 42421253
Debate: Conversational AI and young people's mental health - friend or foe? - the illusion of a safe space for youth mental health.

Artificially intelligent (AI) chatbots are increasingly used for mental health support, yet their sa...

(1)
Jul 2026 42415685
Neuropsychological and metabolic interconnectivity in obesity, anorexia and bulimia nervosa - an integrative literature review.

A dysfunctional bi-directional signalling of plural neural networks expresses distinct metabolic dis...

(2)
Jul 2026 42418024
Validation of EEG mental workload markers using integrated statistical and machine learning analyses.

AIM: Attentional and working-memory processes can be monitored noninvasively using electroencephalog...

Jul 2026 42418665
Machine learning-driven correction of handgrip strength: a novel biomarker for neurological and health outcomes in the UK Biobank.

Handgrip strength (HGS) is a significant biomarker for overall health, offering a simple, cost-effec...

Jul 2026 42419349
Explainable machine learning revealing the impact of mental and physical health on arthritis.

OBJECTIVES: To develop a robust and interpretable machine learning framework for arthritis risk pred...

(1)
Jul 2026 42419862
Cross-attention-guided subject-adaptive graph learning for multimodal autism classification: integrating structural and functional MRI data.

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition marked by structural atypic...

(1)
Jul 2026 42420591
Remaining Human in the Age of Artificial Intelligence: Spiritual and Psychiatric Reflections on Magnifica Humanitas.

Artificial intelligence (AI) is increasingly shaping the ways in which psychiatry understands, predi...

Jul 2026 42414744
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