Psychiatry

Towards a rational ECT treatment approach for severe and treatment resistant schizophrenia using neuroimaging biomarkers: A focused review.

Treatment resistant schizophrenia (TRS) is a major challenge in psychiatry, and its management remains an unmet need. Given the relatively high prevalence of resistance to first line antipsychotics (35%) and to clozapine (55%) as a last resort agent, electroconvulsive therapy (ECT) represents an important alternative modality for management of psychosis in TRS and is usually used only after non-re...

Effectiveness of Artificial Intelligence-Based Nursing Interventions for Chronic Illnesses Care: An Umbrella Review.

BACKGROUND: Artificial intelligence (AI)-based nursing interventions are increasingly being employed to manage chronic illnesses; however, their definitive impact on clinical outcomes remains inconclusive, necessitating a comprehensive evidence synthesis. OBJECTIVE: This umbrella review aimed to synthesize the evidence regarding the effectiveness of AI-based nursing interventions for chronic illne...

Feasibility of diagnosing major depressive disorder with a panel of serum and urine biomarkers.

BACKGROUND: Various biomarkers have been identified as being associated with the pathophysiology of major depression, with the potential to be utilise...

Predicting psychopathology symptom trajectories using machine learning: a 33-year prospective study.

BACKGROUND: While previous literature has established a link between psychopathology symptom trajectories and psychosocial risk, most studies have not...

When Care Becomes Digital: Shared Experiences in Psychiatric Nursing-A Phenomenological Study.

AIM: This qualitative study explores how digitalisation primarily through electronic health records and digital documentation systems is experienced b...

Endometriosis and the mental health burden: a registry-based study of redeemed prescriptions and psychiatric hospital contacts before and after diagnosis of endometriosis.

STUDY QUESTION: Do women with endometriosis have a higher use of antidepressants and anxiolytics, and more frequent psychiatric hospital contacts due ...

Is it a Reliable Guide or a Source to be Approached with Caution? GenAI in Parents' Information Search Processes Regarding Their Children.

Generative artificial intelligence (GenAI) is increasingly used by parents to get information on child care and learning. This study examines how pare...

Epistemic Adequacy: A Ground for Human Rights in Psychiatry : Towards a Functional Framework for Clinical and Legal Alignment.

Recent debates in global mental health reveal a persistent gap between normative commitments and clinical reality. This commentary engages with two re...

Speech as a biomarker for supported diagnosis of major depressive disorder using self-supervised representations.

The diagnosis of major depressive disorder (MDD) urgently requires objective biomarkers for clinical translation. In this study, we established a mult...

The Role of ChatGPT in Reducing Preoperative Anxiety in Patients Planning to Undergo Rhinoplasty.

OBJECTIVE: This study investigates the impact of an artificial intelligence (AI) chatbot (ChatGPT-3.5, OpenAI) on preoperative anxiety among patients ...

Decoding common and rare noncoding variant effects across cellular and developmental contexts.

Interpreting how noncoding variants act in specific cell types across human development is a major challenge. Here we generated 3 billion predictions ...

Factors associated with post-pornography masturbation among university students: a machine-learning study.

BACKGROUND: Pornography consumption is common among university students, yet little research has examined behavioral responses occurring immediately a...

The psychiatry of sycophancy: When agreeable artificial intelligence becomes a mental health risk.

Depression detection from multimodalities based on LeNet with hunter-geese optimization.

Depression is considered a psychological illness, and the effects of depression are persistent sadness, loss of interest, and severe depression, which...

A machine-learning-derived online screening tool for depressive symptoms in chronic digestive system diseases patients: a cross-sectional study with temporal validation from CHARLS.

Chronic digestive system diseases (CDSD) are common in older adults, and depressive symptoms are associated with poorer prognosis and quality of life....

Influence of sponsorship on betting intentions: from linear to deep learning models.

Sports sponsorship by commercial betting providers is an essential source of income for sports entities worldwide. This study examines the formation o...

Anna vs. Judith: A randomized comparison of AI-delivered psychodynamic and cognitive behavioral therapies for social anxiety disorder.

Artificial intelligence (AI) offers a potential solution to the scalability limits of internet-based psychological interventions. This randomized cont...

Bioinspired Nanofluidic Memristors Based on Polyelectrolyte Conformation for Synaptic Learning and in-Memory Logic Computing.

Bioinspired neuromorphic and in-memory computing requires devices that store and process information through ionic dynamics analogous to biological sy...

Advances in diabetes technology: clinical implications, limitations, and future perspectives.

Diabetes technology has transformed substantially over the past two decades, becoming central to modern diabetes management. Continuous glucose monito...

Identification of Early Signs of Mental Health Disorders in Older Survivors of Cancer Using Patient-Generated Health Data: Observational Study.

BACKGROUND: Older survivors of cancer face heightened risk of depression and anxiety related to cancer experiences, fear of recurrence, and aging-rela...