Conversational AI Phone Calls to Support Patients With Atrial Fibrillation: Randomized Controlled Trial.

Journal: JMIR cardio
Published Date:

Abstract

BACKGROUND: Patient education and self-management support are critical for atrial fibrillation (AF) management. Conversational artificial intelligence (AI) has the potential to provide interactive and personalized support, but has not been evaluated in patients with AF.

Authors

  • Ritu Trivedi
    CSIR- Central Drug Research Institute (CDRI), Lucknow 226031, India.
  • Liliana Laranjo
    1Australian Institute of Health Innovation, Macquarie University, Level 6 75 Talavera Rd, Sydney, NSW 2109 Australia.
  • Simone Marschner
    Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Level 5, Block K, Westmead Hospital, Hawkesbury Road, Westmead, 2145, Australia, 61 2 8890 3125.
  • Aravinda Thiagalingam
    Westmead Hospital, Westmead, New South Wales, Australia.
  • Stuart Thomas
    Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Level 5, Block K, Westmead Hospital, Hawkesbury Road, Westmead, 2145, Australia, 61 2 8890 3125.
  • Saurabh Kumar
    Research Unit in Climate Change and Sustainability, Department of Civil Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Khlong Nueng, 12120, Pathumthani, Thailand.
  • Tim Shaw
    Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
  • Clara K Chow
    The University of Sydney, Sydney Medical School, Sydney, New South Wales, Australia.

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