Published on in Vol 21, No 10 (2019): October

Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study

Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study

Psychosocial Factors Affecting Artificial Intelligence Adoption in Health Care in China: Cross-Sectional Study

Journals

  1. Chang C. Exploring the Usage Intentions of Wearable Medical Devices: A Demonstration Study. Interactive Journal of Medical Research 2020;9(3):e19776 View
  2. Javaid M, Haleem A, Khan I, Vaishya R, Vaish A. Extending capabilities of artificial intelligence for decision-making and healthcare education. Apollo Medicine 2020;17(1):53 View
  3. Qi M, Cui J, Li X, Han Y. Perceived Factors Influencing the Public Intention to Use E-Consultation: Analysis of Web-Based Survey Data. Journal of Medical Internet Research 2021;23(1):e21834 View
  4. Tsai W, Wu Y, Cheng C, Kuo M, Chang Y, Hu F, Sun C, Chang C, Chan T, Chen C, Lee C, Chu C. A Technology Acceptance Model for Deploying Masks to Combat the COVID-19 Pandemic in Taiwan (My Health Bank): Web-Based Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(4):e27069 View

Books/Policy Documents

  1. Jain V, Singh N, Pradhan S, Gupta P. Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation. View