Background: The integration of digital health technologies has transformed mental healthcare, particularly for young adults with First-Episode Psychosis (FEP). Digital interventions, such as telepsychiatry and mobile applications, address barriers like social stigma, restricted access to services, and the urgency of timely care. Methods: A systematic literature review was conducted using PubMed and APA PsycINFO. Included studies focused on randomized controlled trials, cohort studies, and open studies of digital interventions for FEP rehabilitation. Exclusion criteria included meta-analyses, reviews, and irrelevant studies. Results: Smartphone applications like Horyzons-Canada facilitated peer support and symptom management, while tools such as My Journey 3 emphasized the need for better user engagement. Digital innovations, including Cognitive Behavioral Therapy for insomnia (CBT-I) and telepsychiatry, demonstrated improvements in recovery and treatment adherence. Discussion: Digital interventions significantly enhance the accessibility and quality of FEP care, supporting functional recovery and patient engagement. Future research should prioritize longitudinal studies, user engagement strategies, and advanced analytics to develop personalized, scalable solutions.

Purpose: Eating disorders (EDs), including anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED), are complex psychiatric conditions with high morbidity and mortality. Neuroimaging and machine learning (ML) represent promising approaches to improve diagnosis, understand pathophysiological mechanisms, and predict treatment response. This systematic review aimed to evaluate the application of ML techniques to neuroimaging data in EDs. Methods: Following PRISMA guidelines (PROSPERO registration: CRD42024628157), we systematically searched PubMed and APA PsycINFO for studies published between 2014 and 2024. Inclusion criteria encompassed human studies using neuroimaging and ML methods applied to AN, BN, or BED. Data extraction focused on study design, imaging modalities, ML techniques, and performance metrics. Quality was assessed using the GRADE framework and the ROBINS-I tool. Results: Out of 185 records screened, 5 studies met the inclusion criteria. Most applied support vector machines (SVMs) or other supervised ML models to structural MRI or diffusion tensor imaging data. Cortical thickness alterations in AN and diffusion-based metrics effectively distinguished ED subtypes. However, all studies were observational, heterogeneous, and at moderate to serious risk of bias. Sample sizes were small, and external validation was lacking. Conclusion: ML applied to neuroimaging shows potential for improving ED characterization and outcome prediction. Nevertheless, methodological limitations restrict generalizability. Future research should focus on larger, multicenter, and multimodal studies to enhance clinical applicability. Level of Evidence: Level IV, multiple observational studies with methodological heterogeneity and moderate to serious risk of bias.

Background: Art therapy is increasingly recognized as a valuable complementary intervention for individuals with eating disorders (EDs), who frequently experience comorbid anxiety and difficulties with emotional regulation. However, few studies have examined its short-term effects on state and trait anxiety within structured clinical settings. Methods: This pilot study involved 19 adolescent females (mean age 17.7 ± 2.1 years) diagnosed with anorexia nervosa (AN) or bulimia nervosa (BN) and admitted to the Mariconda Regional Residence for Eating Disorders (ASL Salerno, Italy) in residential or semi-residential treatment. Participants completed a structured six-week cycle of weekly textile-based art therapy sessions, designed to promote emotional expression and body reconnection. State and trait anxiety levels were assessed pre- and post-session using the State-Trait Anxiety Inventory (STAI). Repeated-measures ANOVA was used to analyze state anxiety changes; a linear mixed-effects model was applied to trait anxiety. Results: State anxiety significantly decreased immediately after sessions (p = 0.002). A significant main effect of session (p = 0.01) and a time × session interaction (p = 0.025) indicated variability across sessions. Trait anxiety showed a non-significant trend toward reduction (p = 0.11); however, reductions were significant at sessions 4 (p = 0.015), 5 (p < 0.001), and 6 (p = 0.005). Conclusions: Art therapy may offer immediate reductions in state anxiety and may contribute to a longer-term reduction in trait anxiety with 4–6 sessions. These findings support integrating creative interventions within multidisciplinary ED treatment programs. Future research with larger samples and control groups is needed to confirm and expand upon these preliminary results.