AI-Driven Mental Health Apps, Chatbots, and Teletherapy Platforms Transforming Therapy Accessibility

Artificial intelligence (AI) is rapidly transforming health care, offering significant potential to enhance access, efficiency, and outcomes, particularly in mental health. This collection of studies explores the effectiveness and acceptability of AI-driven and digital mental health interventions across varied populations and clinical settings. Sadeh-Sharvit et al. evaluated the Eleos Health AI platform in routine outpatient cognitive behavioural therapy (CBT), showing greater symptom reduction in depression (34% vs. 20%) and anxiety (29% vs. 8%) compared to treatment as usual (TAU), along with a 67% increase in session attendance. Lohani et al.’s national RCT on suicide prevention found that both clinician-delivered crisis response plans (CRP) and self-guided safety plans (SP) significantly reduced suicidality, though CRP led to higher plan adoption (77.42% vs. 51.72%) and perceived usefulness. Chatbot-guided interventions were also effective. Schillings et al. demonstrated improvements in mindfulness and emotion regulation through a 3-week intervention using ELME, a psychoeducational chatbot, despite no significant change in perceived stress. Van Baal et al. found that Cory COVID-Bot significantly influenced health attitudes, with the compassion condition increasing the perceived importance of testing (M=4.38, (standard deviation: SD=4.91). Across all studies, AI tools showed high user satisfaction and engagement, though challenges such as dropout rates, technical barriers, and digital inequities were noted. These findings emphasize the importance of ethical design, usability, and inclusivity in AI integration. Understanding stakeholder needs and tailoring interventions accordingly are crucial for leveraging AI’s potential to support preventive, accessible, and community-based mental health care.