Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare: Trust, Anthropomorphism, and Patient Acceptance of AI-Driven Mental Health Therapy is a groundbreaking and empirically driven exploration into how emerging AI technologies are reshaping mental healthcare. This expertly researched book examines the critical human factors—trust, self-disclosure, and the human-like design of AI avatars—that determine whether patients accept and benefit from AI-driven therapy systems.
Drawing on data from over 800 participants and grounded in interdisciplinary theoretical frameworks, the book offers valuable insights into how anthropomorphic AI avatars can deliver therapeutic value while navigating the psychological, cultural, and ethical complexities of mental healthcare. With chapters covering everything from AI system design to real-world implementation challenges, this work provides healthcare providers, technologists, and policymakers with actionable recommendations for developing effective and ethical AI mental health solutions.
Whether you are a researcher, practitioner, or digital health innovator, this book delivers a compelling vision for a future where AI and human compassion work together to make mental health support more accessible, trustworthy, and effective.