• Mallayev Oybek Usmankulovich
  • Qodirov Rahimjon Rasuljon o‘g‘li


Key words: AI-assisted telemedicine, Mental health, Personalized therapy, Patient engagement, Machine learning algorithms, Natural language processing (NLP), Virtual therapists, Cognitive-behavioral therapy (CBT), Remote therapy, Behavioral nudges, Treatment outcomes, Data analysis, Teletherapy platforms, Accessibility, Ethical considerations.


Abstract: The growing prevalence of mental health conditions necessitates innovative solutions to improve access to quality care. This study explores the potential of AI-assisted telemedicine for mental healthcare, focusing on its impact on personalized therapy and patient engagement. We examine how AI can analyze patient data to tailor treatment plans and how telemedicine platforms can increase accessibility and convenience.



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How to Cite

Mallayev Oybek Usmankulovich, & Qodirov Rahimjon Rasuljon o‘g‘li. (2024). AI-ASSISTED TELEMEDICINE FOR MENTAL HEALTH: A STUDY ON PERSONALIZED THERAPY AND PATIENT ENGAGEMENT. Journal of New Century Innovations, 54(3), 159–163. Retrieved from