Home // AIHealth 2024, The First International Conference on AI-Health // View article

Efficacy of an AI-Based Weight Loss Digital Therapeutics Platform: A Multidisciplinary Perspective

Authors:
Sarfraz Khokhar
John Holden
Catherine Toomer
Linda Whitby

Keywords: obesity, weight loss, digital therapeutics, artificial intelligence, expert systems

Abstract:
Abstract—Obesity is a global problem that has had a significant impact on society and the economy. The consequences are ominous with serious health risks. Millions of people are dying every year from complications of obesity and comorbidities. Despite efforts by governments and health agencies obesity continues to rise. Most of the approaches to management and treat obesity have not been successful because they did not shape people’s lifestyle and the solutions that were provided for lifestyle modification are not multidisciplinary, they focus on only specific aspects. Obesity management mandates multidisciplinary approach with effective patient engagement, enhanced patient-healthcare provider communication, better adherence to therapy, minimize therapeutic inertia, motivation, more informed treatment decision by the healthcare provider, and addressing psychosocial conditions. We designed and developed an AI (artificial intelligence) based digital therapeutics platform to the multidisciplinary mandate for obesity management and treatment. We tested the efficacy of our proposed platform (solution) with a 24-week field trial and achieved 13.9% weight loss of the initial weight.

Pages: 54 to 59

Copyright: Copyright (c) IARIA, 2024

Publication date: March 10, 2024

Published in: conference

ISBN: 978-1-68558-136-7

Location: Athens, Greece

Dates: from March 10, 2024 to March 14, 2024