Mental health in the AI era: It's not about avoiding AI, it's about transparency 🧠

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The lesson? People want human connection, not just solutions.

#MentalHealth #AI #HealthTech #DigitalEthics #TherapyInnovation #VaultSage #NURIE

Cognitive Remediation for Psychosis in Virtual Reality (ThinkTactic VR): Qualitative, Iterative, and User-Centered Codevelopment Study Background: Cognitive remediation improves cognition and psychosocial functioning in individuals with psychotic disorders. The use of virtual reality (VR) to deliver cognitive remediation in immersive environments that mimic real cognitively challenging situations has the potential to increase engagement to treatment and further enhance its impact on functioning. Objective: We aimed to codevelop a cognitive remediation program in VR with individuals with psychotic disorders and #Health care professionals to identify and address their needs. Methods: Individuals with lived experience of a psychosis-spectrum condition (n=11) met 9 times and the #Health care professionals (n=7) met 3 times. Participants discussed personal and professional opinions on the challenges associated with cognitive difficulties in individuals with psychotic disorders. They also provided feedback on the program development. Results: We discerned 4 themes from the content expert working groups: the need for a program to address cognitive impairments, the key program design elements to support cognitive rehabilitation, the importance of leveraging technology as an intervention tool, and the need to improve community functioning. In total, 3 themes were identified for the #Health care professionals: the need for a clinically relevant program that addresses the research-to-practice gap, the need to improve patient engagement in services, and the need for a program that addresses the limited resources in #Health care. The needs of our end-user experts were placed at the center of the program development process. When possible, we also integrated their suggestions, like the incorporation of a virtual coach within the immersive environment. Conclusions: Individuals with lived experience and #Health care professionals have distinct needs, which have informed the co-design of a novel cognitive remediation program in VR, ThinkTactic VR. To our knowledge, ThinkTactic VR is one of the first co-designed and codeveloped cognitive remediation programs in VR using an iterative, user-centered #Approach involving both individuals with psychotic disorders and #Health care professionals.

JMIR Mental Health: Cognitive Remediation for Psychosis in Virtual Reality (ThinkTactic VR): Qualitative, Iterative, and User-Centered Codevelopment Study #CognitiveRemediation #Psychosis #VirtualReality #MentalHealth #TherapyInnovation

Innovations in Trauma Therapy: New & Effective Modalities | Corner Canyon Discover emerging trauma therapy modalities that enhance recovery. Explore innovative, evidence-based treatments for lasting healing

New trauma therapy approaches, like somatic experiencing, neurofeedback, and psychedelic-assisted therapy, are changing lives. Discover what could work for you. #TraumaRecovery #TherapyInnovation

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Humanistic Values in Modern Growth Therapies: A Path Toward Wellbeing

#GrowthTherapies #PositivePsychology #HumanFlourishing #Wellbeing #Resilience #MentalHealth #TherapyInnovation #HumanisticApproach #InnerPeace #SelfDevelopment #TherapeuticGrowth #HolisticHealing

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Effectiveness of Artificial Intelligence–Based Platform in Administering Therapies for Children With Autism Spectrum Disorder: 12-Month Observational Study Background: A 12-month longitudinal observational study was conducted on 43 children aged 2-18 years to evaluate the effectiveness of the Cognitivebotics AI-based platform in conjunction with continuous therapy, in improving therapeutic outcomes for subjects with Autism Spectrum Disorder (ASD). Objective: This study evaluates the Cognitivebotic software’s effectiveness in supporting children with ASD through structured, technology-assisted learning. The primary objectives include assessing user engagement, tracking progress, and measuring efficacy using standardized clinical assessments. Methods: A 12-month observational study was conducted on children diagnosed with ASD using the Cognitivebotics AI-based platform. Standardized assessments, include the Childhood Autism Rating Scale (CARS), Vineland Social Maturity Scale (VSMS), Developmental Screening Test (DST), and Receptive Expressive Emergent Language Test (REEL), at baseline (T1) and at the endpoint (T2). All participants meeting the inclusion criteria were provided access to the platform and received standard therapy. Participants who consistently adhered to platform use as per the study protocol were classified as the intervention group, while those who did not maintain continuous platform use were designated as the control group. Additionally, caregivers received structured training, including online parent teaching sessions, reinforcement strategy training, and home-based activity guidance. Results: Subjects in the intervention group demonstrated statistically significant improvements across multiple scales. CARS scores reduced from 33.41 ± 1.89 at T1 to 28.34 ± 3.80 at T2 (P < .00001). Social Age (SA) increased from 22.80 ± 7.33 to 35.76 ± 9.09 (mean change: 12.96, 56.84% increase, P < .00001). Social Quotient increased from 53.26 ± 11.84 to 64.75 ± 16.12 (mean change: 11.49, 21.57% increase, P < .00001). Developmental Age (DA) showed an improvement from 30.93 ± 9.91 to 45.31 ± 11.20 (mean change: 14.38, 46.49% increase, P < .00001), while Developmental Quotient increased (DQ) from 70.94 ± 10.95 to 81.33 ± 16.85 (mean change: 10.39, 14.65% increase, P < .00001). REEL scores showed substantial improvements, with receptive language increasing by 56.22% ( P < .00001) and expressive language by 59.93% ( P < 0.00001). In the control group, while most psychometric parameters showed some improvements, they were not statistically significant. CARS scores decreased by 10.62% ( P = .0625), SA increased by 52.27% ( P = .0625), SQ increased by 19.62% ( P = .125), DA increased by 44.88% ( P = .0625), and DQ increased by 11.23% ( P = .1875). REEL receptive and expressive language increased by 34.69% ( P = .10035) and 40.48% ( P = .05447), respectively. Conclusions: Overall, the platform was an effective supplement in enhancing therapeutic outcomes for children with ASD. This platform holds promise as a valuable tool for augmenting ASD therapies across cognitive, social, and developmental domains. Future development should prioritize expanding the product's accessibility across various languages, ensuring cultural sensitivity, and enhancing user-friendliness.

Effectiveness of Artificial Intelligence–Based Platform in Administering Therapies for Children With Autism Spectrum Disorder: 12-Month Observational Study #ArtificialIntelligence #AutismSpectrumDisorder #ChildrensHealth #TherapyInnovation #Cognitivebotics

AI therapy could bridge the massive mental health care gap—but only if done right. Safety and ethics must lead the way. Check out the study: ai.nejm.org/doi/pdf/10.1... #AIinHealthcare #MentalHealth #ClinicalAI #DigitalTherapeutics #TherapyInnovation