IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Digital Healing: AI's Emerging Role in Psychotherapeutic Practice

Digital Healing: AI's Emerging Role in Psychotherapeutic Practice
View Sample PDF
Author(s): Summaira Rehman (Hazara University, Mansehra, Pakistan), Shagufta Parveen (Hazara University, Mansehra, Pakistan)and Nida Munawar (Hazara University, Mansehra, Pakistan)
Copyright: 2026
Pages: 18
Source title: AI-Powered Cognitive Tutors and the New Frontier of Personalized Learning
Source Author(s)/Editor(s): Samra Maqbool (Beijing Normal University, China), Hafiz Muhammad Ihsan Zafeer (Zhejiang Normal University, China)and Ayesha Tariq (The Islamia University of Bahawalpur, Pakistan)
DOI: 10.4018/979-8-3373-4217-7.ch009

Purchase

View Digital Healing: AI's Emerging Role in Psychotherapeutic Practice on the publisher's website for pricing and purchasing information.

Abstract

Artificial intelligence (AI) is transforming psychotherapeutic practice by enhancing accessibility, personalization, and early intervention in mental health care. This chapter explored diverse AI applications, including chatbots delivering cognitive behavioral therapy (CBT), virtual reality (VR) exposure therapy, digital phenotyping, and clinical decision support systems. Tools like Woebot and Tess demonstrate promise in reducing depressive symptoms and engaging users, while AI-augmented VR enables real-time adaptation of therapeutic environments. Digital phenotyping offers continuous monitoring for early detection of crises, and natural language processing facilitates objective assessment of therapeutic alliance and empathy. However, challenges such as ethical risks, algorithmic bias, data privacy, and clinician acceptance must be addressed. The concept of “Artificial Wisdom” is proposed to integrate empathy, cultural sensitivity, and ethical reasoning into AI systems. The chapter advocated for collaborative human AI models that preserve the relational depth of therapy while leveraging AI's scalability and analytical capabilities for improved mental health outcomes.

Related Content

Frederic Andres. © 2027. 14 pages.
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar. © 2027. 27 pages.
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran. © 2027. 24 pages.
Swetha Margaret T. A., Renuka Devi D.. © 2027. 31 pages.
Maurice Saluschke, Michael Schulz. © 2027. 30 pages.
Mirjam Sepesy Maučec, Gregor Donaj. © 2027. 16 pages.
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo. © 2027. 21 pages.
Body Bottom