SEM model analysis of diabetic patients' acceptance of artificial intelligence for diabetic retinopathy.

Journal: BMC medical informatics and decision making
PMID:

Abstract

AIMS: This study aimed to investigate diabetic patients' acceptance of artificial intelligence (AI) devices for diabetic retinopathy screening and the related influencing factors.

Authors

  • Luchang Jin
    Provincial Key Laboratory of Intelligent Medical Care and Elderly Health Management, Chengdu Medical College, Chengdu, China.
  • Yanmin Tao
    School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
  • Ya Liu
    Department of Electrical Automation, Hebei University of Water Resources and Electric Engineering, Cangzhou 061001, China.
  • Gang Liu
    Department of Interventional Radiology, Qinghai Red Cross Hospital, Xining, Qinghai, China.
  • Lin Lin
    Central Laboratory, The First Affiliated Hospital of Xiamen University, Xiamen, China, zhibinli33@163.com, liusuhuan@xmu.edu.cn.
  • Zixi Chen
    School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
  • Sihan Peng
    Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.