Adolescent depression and anxiety are common, heterogeneous, and often recognized late. Young people may present with sleep disturbance, irritability, somatic complaints, school refusal, social withdrawal, attentional difficulties, or functional decline before they meet clear diagnostic thresholds. Artificial intelligence has been proposed as a way to improve early identification, monitoring, triage, and treatment planning. However, predictive accuracy alone does not establish clinical value. This Mini Review examines what artificial intelligence can realistically add to the care of adolescents with depression and anxiety, with emphasis on decision support rather than automated diagnosis. Current evidence suggests potential value in prospective risk prediction, digital phenotyping, measurement-based monitoring, conversational interfaces, and early detection of poor treatment response. These tools may help clinicians identify young people who need closer follow-up, structured assessment, safety planning, or treatment adjustment. However, the evidence remains limited by retrospective designs, selected samples, inconsistent outcome definitions, weak external validation, limited calibration, uncertain incremental value over standard clinical assessment, and insufficient testing in real workflows. Digital and conversational tools also raise concerns about privacy, consent, safeguarding, equity, and over-monitoring. Clinically useful artificial intelligence should therefore be evaluated by whether it improves concrete decisions: who is assessed earlier, monitored more closely, escalated for safety concerns, or offered a different treatment pathway. Future research should prioritize measurement precision, cultural transportability, realistic comparators, and evidence that model-guided care improves outcomes for young people.

Residential mobility during childhood has been widely discussed as a potential source of psychosocial disruption, yet population-level longitudinal evidence remains limited outside Western contexts. This study examined whether early-life residential mobility is associated with the subsequent risk of mood disorders in South Korea.

We conducted a nationwide retrospective cohort study using the Korean National Health Insurance Service database (N = 6,668,197). Residential mobility was assessed over a six-year period spanning late childhood and early adolescence (ages 10 to 15). Incident clinical diagnoses of mood disorders (ICD-10: F31 to F39) were ascertained between ages 16 and 25. Multivariable Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals, adjusting for key available covariates, including sex and household income.

A greater frequency of residential relocation was significantly associated with a higher risk of mood disorders. Relative to non-movers, the adjusted hazard ratios were 1.12 (95% CI: 1.12-1.13) for 1-move, 1.27 (95% CI: 1.25-1.28) for 2-move, and 1.41 (95% CI: 1.38-1.44) for 3+ moves. Associations were stronger among lower-income groups, and similar graded patterns were observed across diagnostic subtypes. Sensitivity analyses excluding early diagnoses yielded comparable results. Early-life residential mobility was associated with an elevated and progressively increasing risk of mood disorders in South Korea.

These findings underscore the importance of residential stability during sensitive developmental periods and suggest that residential mobility may represent a potentially modifiable social and environmental risk factor for later mental health. Future research incorporating intergenerational data may help clarify underlying mechanisms.

Preliminary evidence suggests that individuals with Functional Neurological Disorder (FND) may exhibit reduced autonomy-connectedness, a psychological construct referring to the capacity to remain connected with one's own needs and emotions while maintaining meaningful relationships with others. Autonomy-connectedness consists of three interrelated dimensions: self-awareness, sensitivity to others, and the capacity to manage new situations. Although autonomy-connectedness itself has not yet been directly investigated in FND populations, several psychological characteristics associated with FND appear conceptually related to these dimensions, including insecure attachment, suggestibility, alexithymia, altered interoceptive awareness, disturbed sense of agency, and harm avoidance or low openness to experience. This systematic review examined empirical studies investigating psychological characteristics conceptually related to autonomy-connectedness in individuals with FND. Specifically, we reviewed studies on insecure attachment, suggestibility, alexithymia, interoception, sense of agency, and harm avoidance/openness to experience. Across studies, the most consistent associations were found for alexithymia and interoceptive disturbances, whereas findings regarding attachment, sense of agency, and harm avoidance/openness to experience were more heterogeneous. Evidence regarding suggestibility was limited. Overall, the findings provide indirect and hypothesis-generating support for the potential relevance of autonomy-connectedness as a conceptual framework for understanding vulnerability-related characteristics in FND. However, conclusions should be interpreted cautiously given the methodological heterogeneity across studies and the absence of direct assessments of autonomy-connectedness in FND populations.

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023232760.

The widespread adoption of unmanned aerial vehicles (UAVs) in military operations has profoundly transformed modern warfare, introducing new combat paradigms that significantly affect the psychological well-being of service members. This review systematically examines the primary applications of UAVs on the battlefield and explores the complex relationship between UAV warfare and post-traumatic stress disorder (PTSD) among military personnel. It analyses the unique psychological stressors associated with UAV operations, such as the moral dilemmas of remote killing, the persistent tension from continuous surveillance and trauma exposure patterns that differ from those in traditional combat. By integrating recent advances in molecular biology, neuroimaging and clinical psychology, this review highlights the epidemiological characteristics, neurobiological mechanisms, clinical manifestations and treatment challenges of PTSD in both UAV operators and ground troops affected by UAV activities. By providing a comprehensive perspective on the mental health issues stemming from this novel mode of warfare, this article aims to inform the development of targeted prevention and intervention strategies to better support the psychological resilience of military personnel in the era of unmanned combat.

An evaluation of the impact of mental health nursing competency on the academic and clinical competencies of Indian students. Competency-based education is proposed as a method to bridge the theory-practice gap in nursing. Therefore, it is of interest to evaluate a structured Mental Health Nursing Clinical Competency Model's effect on undergraduate students' academic performance, clinical competency and self-perceived confidence. A quasi-experimental design was used with 98 third-years B.Sc. Nursing students in India, who participated in a 16-week intervention comprising theoretical integration and supervised clinical practicum phases. Outcome measures, including a validated competency checklist, theory exams and OSCE scores, showed significant improvements (p < .001) across all domains, with large effect sizes. Thus, data shows that phased model effectively enhances student outcomes and offers a replicable framework for competency-based mental health nursing education.

Patient-reported outcome measures (PROMs) are increasingly utilized to support clinical care by capturing health status from the patient's perspective. Although the application of PROMs in an emergency department (ED) context is expanding, their scope remains poorly mapped. This scoping review aims to identify and characterize the PROMs used to assess the health status of adult patients in the ED in the initial clinical evaluation, with focus on supporting clinical decision-making and developing individual care and treatment plans.

A systematic literature search was conducted using the MEDLINE, Embase, CINAHL, and PsychINFO databases to identify studies utilizing PROMs in ED settings published between January 2000 and February 2025. The review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Extension for Scoping Reviews and the Joanna Briggs Institute guidelines.

The review identified 173 unique PROMs, within the literature utilizing measurement properties. The most prevalent themes were mental health, substance use, and older people; whereas, PROMs for general conditions remained relatively scarce. Twenty-three studies detailed the development of new PROMs, whereas 22 studies described the adaptation of existing PROMs for the ED setting. Notably, most of the identified studies and PROMs were employed primarily for research purposes, with limited emphasis on providing direct clinical feedback.

The predominance of research-oriented PROMs underscores a potential gap in translating these measures into clinical practice. Furthermore, the findings suggest that most existing PROMs focus on identifying specific patient vulnerabilities, pointing toward a relative scarcity of tools designed to assess general medical conditions in the ED.

Bladder cancer survivorship extends beyond oncologic control and includes significant psychological distress, demoralization, sexual dysfunction, and identity disruption. Despite their clinical relevance, structured approaches to difficult conversations in bladder cancer care remain inconsistent.

To develop interdisciplinary consensus recommendations for integrating structured communication regarding mental health and intimacy into routine bladder cancer care.

A multidisciplinary breakout session was convened during the 2025 Bladder Cancer Advocacy Network (BCAN) Think Tank. Participants included urologists, medical oncologists, psychiatrists, sexual medicine specialists, advanced practice providers, nurses, social workers, and patient advocates. The session combined didactic presentations with a moderated panel discussion structured around six predefined domains, followed by iterative refinement of consensus statements through follow up correspondence among the discussion leaders.

Consensus was achieved across six core domains: normalization of psychosocial discussions, routine screening, differentiation between depression and demoralization, structured sexual health counseling, early multidisciplinary referral pathways, and team-based survivorship implementation. A practical implementation framework was developed to integrate these domains into routine urologic practice.

Difficult conversations are central to high-quality bladder cancer care. As practice-changing perioperative and metastatic therapies extend survival for a growing population of bladder cancer survivors, structured communication about mental health and intimacy becomes increasingly central to comprehensive care. The BCAN consensus provides structured, implementable recommendations to standardize communication around mental health and intimacy, with implications for survivorship outcomes and future research.

To investigate cerebral and cervical hemodynamic differences assessed by transcranial color-coded duplex sonography (TCCD) combined with cervical artery ultrasound in adolescents with first-episode depressive disorder.

This study included 169 adolescents with first-episode depressive disorder and 61 healthy controls. TCCD combined with cervical artery ultrasound was used to assess hemodynamic parameters of the main cerebral and cervical arteries, including peak systolic velocity, end-diastolic velocity, mean velocity, pulsatility index, and resistance index. Differences between the depressive disorder group and the healthy control group were compared. Associations between hemodynamic parameters and clinical characteristics, including Self-Rating Depression Scale (SDS) standard score, sex, age, and disease duration, were also analyzed.

The depressive disorder and healthy control groups were comparable in age [16 (13, 17) vs 16 (13.25, 17) years, P = 0.580] and sex distribution (female, 68.6% vs 62.3%, P = 0.367). Compared with healthy controls, adolescents with first-episode depressive disorder showed alterations in cerebral and cervical arterial hemodynamic parameters despite the absence of definite structural cerebrovascular lesions. The main changes were an increase in resistance-related indices in left middle cerebral artery, left anterior cerebral artery, and bilateral vertebral arteries. The velocity-related indices showed heterogeneous changes, including increased peak systolic velocity in the left anterior cerebral artery, decreased flow velocity in the intracranial segment of the right vertebral artery, and increased blood flow velocity in the cervical segment of the right internal carotid artery (all P < 0.05). Increasing age was predominantly associated with lower velocity-related parameters (all P < 0.05). Within the depressive disorder group, higher SDS standard scores were negatively associated with selected pulsatility, resistance, and velocity-related parameters after FDR correction (all FDR-adjusted q < 0.05). No consistent associations were found between hemodynamic parameters and sex or disease duration.

TCCD combined with cervical artery ultrasound revealed differences in selected cerebral and cervical hemodynamic parameters in adolescents with first-episode depressive disorder, characterized by higher resistance-related indices and heterogeneous velocity-related changes. These findings suggest that combined ultrasound may provide complementary hemodynamic information and support future development of noninvasive hemodynamic characterization for adolescent depressive disorder.

This study aimed to determine the feasibility and safety of administering perioperative propranolol, as an adjunct to reduce prostate cancer recurrence, in patients undergoing robotic-assisted laparoscopic prostatectomy (RALP) for European Association of Urology (EAU) intermediate- or high-risk prostate cancer.

Treatment-naïve men aged 40-80 years with EAU intermediate- or high-risk prostate cancer scheduled for RALP were enrolled in this single-centre, randomised, double-blind, placebo-controlled, phase 2 pilot trial. Participants were randomised 1:1 to receive propranolol or placebo for approximately 3 weeks (about 1 week pre-RALP and 2 weeks post-RALP). Serial blood sampling was performed to measure catecholamine metabolites, serum propranolol and short-interval prostate-specific antigen (PSA) dynamics. Participants self-monitored pulse rate and blood pressure twice daily.

Over 36 weeks in 2023, 160 patients underwent RALP; 111 were prescreened, 49 were fully screened and 40 were randomised, corresponding to inclusion rates of 36% among prescreened and 82% among fully screened patients. Pre-RALP adherence was 98% in both arms; post-RALP adherence was lower in the propranolol arm. No Common Terminology Criteria for Adverse Events (CTCAE) version 5.0 grade ≥3 adverse events were attributed to propranolol, and no surgeries were delayed. The epinephrine metabolite metanephrine increased intraoperatively in both arms and declined by the end of treatment. Mean preoperative PSA decreased more with propranolol than with placebo. As this pilot was not powered to detect between-group differences, such differences are hypothesis-generating only.

PeP-RALP demonstrated that perioperative propranolol is operationally feasible and demonstrated an acceptable safety profile within RALP workflows, with strong preoperative adherence. Our study supports a multicentre efficacy randomised controlled trial with standardised anaesthetic protocols, postoperative adherence support and oncological endpoints. All physiological and molecular results, including PSA dynamics, in this pilot are exploratory and solely intended to inform the design of any future trials.

With interest in the adoption of artificial intelligence (AI)-enabled digital mental health technologies (AI-DMHTs) among the general population ceaselessly escalating, mental health clinicians are obliged to confront questions about their utility and safety for their practice. However, little guidance exists for developers on how to communicate risks to clinicians who may need to evaluate products for individuals with mental health concerns, individuals who are frequently vulnerable to such risks. We propose a standardized facts label for AI-DMHTs designed to enhance transparency and awareness about these tools and their risks to users, patients, and clinicians. This framework was developed by a multidisciplinary team from the American Psychiatric Association Committee on Mental Health Information Technology through iterative expert review and external clinician consultation, drawing upon existing scholarship in risk communication and informed consent, as well as international AI governance frameworks. The resulting facts label framework is composed of 8 sections: key identifying information, intended use, warnings, risks and limitations, model information, clinical evidence, accessibility and usability considerations, and privacy and security. This research represents a practical step toward responsible utilization of AI-DMHTs and aims to serve as a foundation for continued multidisciplinary collaboration regarding the development and governance of AI risk communication in the domain of mental health and healthcare more broadly.