Integration of AI-assisted Diagnosis in Urogynecology: A Pilot Implementation Study

Author: Brian Hall

Journal: Fertility and Sterility

Published: October 14, 2022

DOI: 10.1234/jog.2022.6865


Abstract

Objective: Evaluate feasibility of AI-assisted Diagnosis integration in Urogynecology practice. Methods: Pilot implementation with 50 patients. Results: High acceptance rates and improved workflow efficiency. Conclusion: AI-assisted Diagnosis shows promise for enhancing Urogynecology care delivery.

Publication Info
  • Type: Article
  • Status: Published
  • Added: Oct 11, 2025