Applications of Artificial Intelligence Models in Teletherapy: A Review of Efficacy, and Ethical Implications

Authors

  • Ayodeji Adedotun Adeniyi
  • Tobi Titus Oyekanmi
  • Vitoria O. Kolawole
  • Peter Oluwasayo Adigun
  • Nelson Abimbola Ayuba Azeez

Keywords:

AI, ML, NLP, CBT, Teletherapy, Remote Healthcare, AI in Healthcare

Abstract

This review synthesizes contemporary evidence on the emerging applications of artificial intelligence (AI) models in teletherapy, based on their efficacy and ethical implications. Drawing on 27 peer-reviewed studies published between 2014 and 2025, it integrates diverse perspectives on how AI-enabled systems are increasingly incorporated into mental health care through digital cognitive behavioral therapy (CBT), virtual human (VH) agents, speech recognition platforms, and personalized e-therapy modules. Evidence from clinical studies indicates promising outcomes in patient engagement, symptom reduction, satisfaction, and scalability, particularly in resource-limited settings. Evidence underscores that while AI-assisted teletherapy enhances accessibility, efficiency, and real-time monitoring compared to traditional models, it remains limited in replicating the therapeutic rapport, empathy, and contextual sensitivity that are essential for effective treatment. Key ethical challenges include data privacy concerns, bias, transparency, accountability, and the irreplaceable role of human therapists. The review concludes that the future of teletherapy lies in hybrid care models, substantial data governance, and clinician oversight to ensure safe, effective, and ethically sound integration of AI in mental health practice.

Author Biographies

  • Ayodeji Adedotun Adeniyi

    Department of Media, Art, and Technology, New Mexico Highlands University, 1005 Diamond St, Las Vegas, New Mexico, USA

  • Tobi Titus Oyekanmi

    Department of Computer Science, New Mexico Highlands University, 1005 Diamond St, Las Vegas, New Mexico, USA

  • Vitoria O. Kolawole

    The McWilliams School of Biomedical Informatics at the University of Texas Health Science Center at Houston, Houston, USA

  • Peter Oluwasayo Adigun

    Department of Computer Science, New Mexico Highlands University, 1005 Diamond St, Las Vegas, New Mexico, USA

  • Nelson Abimbola Ayuba Azeez

    Department of Physics, University of Abuja, Abuja, Federal Capital Territory, Nigeria

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Published

2025-11-26

Issue

Vol. 103 No. 1 (2025)

Section

Articles

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How to Cite

Ayodeji Adedotun Adeniyi, Tobi Titus Oyekanmi, Vitoria O. Kolawole, Peter Oluwasayo Adigun, & Nelson Abimbola Ayuba Azeez. (2025). Applications of Artificial Intelligence Models in Teletherapy: A Review of Efficacy, and Ethical Implications. American Scientific Research Journal for Engineering, Technology, and Sciences, 103(1), 373-391. https://asrjetsjournal.org/American_Scientific_Journal/article/view/12139