Effectiveness of an Artificial Intelligence-Assisted App for Improving Eating Behaviors: Mixed Methods Evaluation.

Journal: Journal of medical Internet research
Published Date:

Abstract

BACKGROUND: A plethora of weight management apps are available, but many individuals, especially those living with overweight and obesity, still struggle to achieve adequate weight loss. An emerging area in weight management is the support for one's self-regulation over momentary eating impulses.

Authors

  • Han Shi Jocelyn Chew
    Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 117597, Singapore.
  • Nicholas Ws Chew
    Department of Cardiology, National University Hospital, Singapore, Singapore.
  • Shaun Seh Ern Loong
    Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Su Lin Lim
    Department of Dietetics, National University Hospital, Singapore, Singapore.
  • Wai San Wilson Tam
    Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Yip Han Chin
    Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Ariana M Chao
    School of Nursing, Johns Hopkins University, Baltimore, MD, United States.
  • Georgios K Dimitriadis
    Department of Endocrinology ASO/EASO COM, King's College Hospital NHS Foundation Trust, London, United Kingdom.
  • Yujia Gao
    Division of Hepatobiliary & Pancreatic Surgery, Department of Surgery, National University Hospital, Singapore, Singapore.
  • Jimmy Bok Yan So
    Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Asim Shabbir
    Division of General Surgery (Upper Gastrointestinal Surgery), Department of Surgery, National University Hospital, Singapore, Singapore.
  • Kee Yuan Ngiam
    Group Chief Technology Office, National University Health System Singapore, Singapore, Singapore.