Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64396, first published .
The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis

The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis

The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis

Journals

  1. Desage C, Bunge B, Bunge E. A Revised Framework for Evaluating the Quality of Mental Health Artificial Intelligence-Based Chatbots. Procedia Computer Science 2024;248:3 View
  2. Tan C, Chan J, Chan J, Nagarajan S, Sng B. Information about labor epidural analgesia: an updated evaluation on the readability, accuracy, and quality of ChatGPT responses incorporating patient preferences and complex clinical scenarios. International Journal of Obstetric Anesthesia 2025;63:104688 View
  3. Abbas S, Seol H, Abbas Z, Lee S. Exploring the Role of Artificial Intelligence in Smart Healthcare: A Capability and Function-Oriented Review. Healthcare 2025;13(14):1642 View
  4. Teles A, Chaturvedi J, Wang T, Scazufca M, Msosa Y, Stahl D, Roberts A, Montague-Cardoso K. Generative multimodal large language models in mental health care: Applications, opportunities, and challenges. PLOS Mental Health 2025;2(11):e0000488 View

Books/Policy Documents

  1. Gkintoni E, Telonis G, Tsimakis A, Halkiopoulos C, Boutsinas B. Innovation and Creativity in Tourism, Business and Social Sciences. View