The Promise and Challenges of AI Integration in Ovarian Cancer Screenings.

Journal: Reproductive sciences (Thousand Oaks, Calif.)
Published Date:

Abstract

PURPOSE: Ovarian cancer is oftendiagnosed late due to vague symptoms, leading to poor survival rate. Improved screening tests could mitigate this issue. This narrative review examines the potential and challenges of integrating artificial intelligence (A.I.) into ovarian cancer screenings, with a focus on improving early detection, diagnosis, and personalized risk assessment.

Authors

  • Sierra Silverwood
    Michigan State University College of Human Medicine, Grand Rapids, MI, USA. silverwo@msu.edu.
  • Anna Jeter
    University of Colorado, AOA Dx, Inc, Denver, CO, USA.
  • Margo Harrison
    AOA Dx, Inc, Cambridge, MA, USA.