Harnessing Artificial Intelligence: Strategies for Mental Health Nurses in Optimizing Psychiatric Patient Care

Issues in Mental Health Nursing, Journal Year: 2023, Volume and Issue: 44(10), P. 1020 - 1034

Published: Oct. 3, 2023

This narrative review explores the transformative impact of Artificial Intelligence (AI) on mental health nursing, particularly in enhancing psychiatric patient care. AI technologies present new strategies for early detection, risk assessment, and improving treatment adherence health. They also facilitate remote monitoring, bridge geographical gaps, support clinical decision-making. The evolution virtual assistants AI-enhanced therapeutic interventions are discussed. These technological advancements reshape nurse-patient interactions while ensuring personalized, efficient, high-quality addresses AI's ethical responsible use emphasizing privacy, data security, balance between human interaction tools. As applications care continue to evolve, this encourages continued innovation advocating implementation, thereby optimally leveraging potential nursing.

Language: Английский

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Brain dynamics reflecting an intra-network brain state are associated with increased post-traumatic stress symptoms in the early aftermath of trauma

Nature Mental Health, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 20, 2025

Language: Английский

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Recent advances in the role of miRNAs in post-traumatic stress disorder and traumatic brain injury

Molecular Psychiatry, Journal Year: 2023, Volume and Issue: 28(7), P. 2630 - 2644

Published: June 20, 2023

Abstract Post-traumatic stress disorder (PTSD) is usually considered a psychiatric upon emotional trauma. However, with the rising number of conflicts and traffic accidents around world, incidence PTSD has skyrocketed along traumatic brain injury (TBI), complex neuropathological disease due to external physical force also most common concurrent PTSD. Recently, overlap between TBI increasingly attracting attention, as it potential stimulate emergence novel treatments for both conditions. Of note, exploiting microRNAs (miRNAs), well-known class small non-coding RNAs (ncRNAs), have rapidly gained momentum in many nervous system disorders, given miRNAs’ multitudinous key regulatory role various biological processes, including neural development normal functioning system. Currently, wealth studies elucidated similarities pathophysiology symptoms; however, there dearth discussion respect miRNAs TBI. In this review, we summarize recent available discuss highlight promising therapeutics conditions future.

Language: Английский

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Neuroglia in anxiety disorders

Handbook of clinical neurology, Journal Year: 2025, Volume and Issue: unknown, P. 335 - 346

Published: Jan. 1, 2025

Language: Английский

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Treatment Approaches for Posttraumatic Stress Disorder Derived from Basic Research on Fear Extinction

Biological Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: July 1, 2024

Language: Английский

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Colors of the mind: a meta-analysis of creative arts therapy as an approach for post-traumatic stress disorder intervention

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 11, 2025

In clinical practice, creative arts therapy is frequently utilized for the treatment of traumatized adults, with reports favorable outcomes. However, effectiveness this intervention in post-traumatic stress disorder (PTSD) has not yet been definitively established through meta-analysis. meta-analysis, we aim to assess management PTSD. We conducted systematic literature searches electronic databases from extended inception each database November 2023. Cochrane risk bias tool evaluate quality evidence. Standardized mean differences (SMDs) were calculated as effects art on improvement Seven controlled, comparative studies investigated use treating adults Meta-analysis demonstrated a significant decrease PTSD symptoms following (SMD = -1.98, 95% Confidence Interval (CI): -3.8 -0.16, p < 0.03, I2 98%). Subgroup analysis indicates that drama was notably effective, while music, art, and dance/movement therapies exhibited less pronounced effects. Despite limitations, including limited number studies, participant size, study heterogeneity, methodological quality, these results provide valuable understanding regarding efficacy highlight urgent need additional research area.

Language: Английский

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Past and Present Role of Neurosurgical Interventions in the Management of Psychiatric Disorders: A Literature Review on the Evolution of Psychosurgery

Cureus, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Despite advancements in psychiatric treatments, many patients with treatment-resistant disorders are turning to neurosurgical interventions. These include neuromodulation-based surgeries such as deep brain stimulation (DBS) and ablative cingulotomy, offering relief for severe conditions post-traumatic stress disorder (PTSD), depression, schizophrenia, obsessive-compulsive (OCD), anxiety, substance use disorder. While "psychosurgery" has sparked debate due concerns about patient well-being, recent studies indicate promising symptom improvement rates across various while also demonstrating overall safety. Neuromodulation techniques, DBS, transcranial magnetic (TMS), electroconvulsive therapy (ECT), have evolved regard their sensitivity ability target specific regions alleviate symptoms. benefits, these therapies been shown elicit side effects memory loss seizures patients, which controversy the of this technology clinicians patients. Ablative therapies, on other hand, concerning being overly invasive approach toward care. stigma associated interventions care, procedures often remain a last resort highlighting need continued research improve treatments expand options those need. In narrative review, we examine current literature an understanding history treatment its implications clinical practice.

Language: Английский

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Biological treatments for co-occurring eating disorders and psychological trauma: a systematic review

Frontiers in Psychiatry, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 21, 2025

Introduction Many people with eating disorders report having experienced childhood maltreatment or a traumatic event prior to developing an disorder. Although many have significant exposure symptoms of post-traumatic stress disorder, very little research has examined the effects combined treatments for this group. The purpose systematic review was synthesize all existing on biological those and psychological trauma, evaluate their safety, identify future areas in area support patients trauma. Method A multi-step literature search, according priori protocol performed PubMed, Embase, APA PsycINFO, Web Science, Scopus Cochrane Central. Studies needed include intervention at least one disorder trauma outcome. Given limited area, minimal exclusion criteria were applied. quality assessment included studies completed using Risk Bias Non-Randomized Studies-or Interventions (ROBINS-I) tool. Results After removing duplicates, 2623 article titles abstracts screened, 43 articles selected full-text review. Following review, 11 met inclusion criteria. repurposed medications (n = 3), ketamine 2), repetitive transcranial magnetic stimulation (rTMS; n deep brain =1) electroconvulsive therapy (ECT; 1), 3,4-methylenedioxymethamphetamine (MDMA; neurofeedback 1). All reported some improvement either pathology, strongest effect MDMA. While promising, missing data selective reporting interpretability findings. Adverse events across interventions common. Conclusion is common disorders, few been evaluated population. Future work should aim investigate co-occurring as these evolving show potential benefits complex

Language: Английский

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A mixed-methods evaluation of long-term outcomes after trauma-focused cognitive behavioural therapy for children subjected to family violence

Psychotherapy Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: March 5, 2025

Exposure to family violence in childhood significantly increases the risk of developing severe psychiatric and physiological illnesses. Trauma-focused cognitive behavioural therapy (TF-CBT) effectively addresses trauma-related symptoms improves overall well-being. However, knowledge persistence these positive effects over time, facilitating factors, why some children are not benefited remains limited. Furthermore, little attention has been paid exploring children's subjective experiences. This study aimed investigate long-term changes among youths who underwent TF-CBT due violence. Nine participants (M age = 16,6 years, range 14-23; 7 girls 2 boys) were assessed interviewed four five years after treatment. The adopted a mixed-method approach, integrating quantitative qualitative methods. While most still reported being affected by violence, had from treatment, with improvements lasting years. for those did report decreased symptoms, trauma persisted, accompanied additional mental health problems. findings underscore importance providing effective trauma-focused treatments such as highlight need enhanced safety measures parental interventions do benefit

Language: Английский

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PTSD Classification Based on Surface-Based Morphometry: Integrating SHAP Analysis for Key Feature Identification

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 25, 2025

Background Post-Traumatic Stress Disorder (PTSD) is associated with neurobiological alterations, which can be examined using surface-based morphology (SBM). While machine learning (ML) approaches have shown potential in classifying PTSD based on SBM features, further exploration needed to improve interpretability and clinical relevance. Objectives This study seeks integrate ML-based classification of SHAP analysis identify important features their associations symptomatology, providing insights into the structural changes underlying PTSD. Methods High-resolution T1-weighted MRI data from 101 participants (62 PTSD, 39 healthy controls) were analyzed FreeSurfer’s pipeline, extracting cortical thickness, surface area, curvature aparc.a2009s atlas. Several ML models, including Random Forest, SVM, XGBoost, trained evaluated ten-fold cross-validation. was applied determine feature importance, correlation analyses conducted examine relationships between key symptom severity. Results Sixteen regions identified significant differences reduced thickness left lingual gyrus increased bilateral central sulcus. The Forest model achieved highest accuracy (91%) classification. highlighted parahippocampal as features. Correlation suggested links these specific clusters. Conclusion integration interpretable methods provides a promising approach for investigating brain validation needed, findings contribute better understanding neurobiology may support future research diagnostic therapeutic strategies.

Language: Английский

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