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1 results

  • 2 - How AI Can Help Depression Treatment

  • from Part I - Personalized Medicine
  • Edited by Sze-chuan Suen, University of Southern California, David Scheinker, Stanford University, California, Eva Enns, University of Minnesota
  • Book:
    Artificial Intelligence for Healthcare
    Published online:
    21 April 2022
    Print publication:
    05 May 2022, pp 15-36

  • Summary

    Designing AI-assisted technology to better understand major depressive disorder and further develop appropriate strategies for monitoring and treatment of major depression under resource constraints is an important and challenging task. In this chapter, we present seven studies that developed methods for AI-assisted, data-driven decision support systems to aid healthcare professionals. These methods focus on modeling chronic depression’s complex disease trajectories, identifying patients at high risk of progression, and recommending adaptive and cost-effective follow-up care. Long-term goals of this research include improving patient health outcomes and facilitating efficient allocation of healthcare providers’ limited resource through the use of novel technology.