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Strategic Guidelines to Integrate Artificial Intelligence in Obstetrics and Gynecology: Best Practices and Ethical Considerations

  • Pallav Sengupta
  • , Sulagna Dutta
  • , Sovan Bagchi
  • , Prashanth Hegde
  • , Suraj Sebastian
  • , David C.M. Taylor
  • , Ralf Henkel
  • Gulf Medical University
  • Thumbay University Hospital
  • Imperial College London
  • LogixX Pharma Ltd
  • University of the Western Cape

Research output: Contribution to journalArticlepeer-review

Abstract

The transformative advancements in artificial intelligence (AI) have significantly impacted medical fields, particularly obstetrics and gynecology (OBGYN). This manuscript presents a comprehensive set of twelve strategic guidelines for the effective integration of AI into OBGYN, emphasizing both best practices and ethical considerations. These guidelines cover essential domains including multidisciplinary collaboration, safeguarding patient safety and privacy, continuous staff training, mitigating algorithmic bias, promoting transparent communication with patients, and fostering a continuous feedback loop between clinicians and AI developers. Additional recommendations highlight the importance of staying updated on AI advancements, defining the role of AI within clinical governance frameworks, ensuring long-term sustainability, collaborating with AI vendors for customized solutions, and evaluating outcomes to inform future practice. These strategies are designed to position AI as an augmentative tool in clinical decision-making, ensuring it enhances rather than replaces human expertise. By upholding collaborative efforts and ethical standards, AI can profoundly improve care quality in OBGYN, fostering safer and more effective healthcare delivery.

Original languageEnglish
Pages (from-to)2244-2251
Number of pages8
JournalReproductive Sciences
Volume32
Issue number7
DOIs
StatePublished - Jul 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Artificial intelligence
  • Gynecology
  • Healthcare
  • Obstetrics

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