Emerging Artificial Intelligence-Empowered mHealth: Scoping Review.

Journal: JMIR mHealth and uHealth
Published Date: Jun 9, 2022

Abstract

BACKGROUND: Artificial intelligence (AI) has revolutionized health care delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning, to build predictive models for the early detection of diseases. Such predictive models leverage mobile health (mHealth) data from wearable sensors and smartphones to discover novel ways for detecting and managing chronic diseases and mental health conditions.

Authors

  • Paras Bhatt
    Department of Electrical & Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, United States.
  • Jia Liu
    Department of Colorectal Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin, China.
  • Yanmin Gong
    Department of Electrical & Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, United States.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Yuanxiong Guo
    Department of Electrical & Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, United States.

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