Transforming Gynecology with Artificial Intelligence: Advances in Clinical Practice

Authors

  • Shaghayegh Mahmoudiandehkordi Isfahan University of Medical Sciences, Isfahan, Iran
  • Maryam Yeganegi Isfahan University of Medical Sciences, Isfahan, Iran

DOI:

https://doi.org/10.54756/IJSAR.2024.25

Keywords:

Artificial Intelligence, Gynecology, Embryo, Pregnancy Complications

Abstract

Artificial Intelligence (AI) revolutionizes gynecology by enhancing diagnosis, prediction, and treatment. This review explores AI applications in early pregnancy complication prediction, fetal health monitoring, gynecological cancers (cervical and ovarian), and embryo selection in IVF. Machine learning models analyze patient data, imaging, and biomarkers to predict risks such as pre-eclampsia, detecting fetal distress, improve cervical cancer screening, and enable early ovarian cancer diagnosis. AI-driven methods for embryo selection automate viability assessment, improving success rates and reducing subjectivity. AI supports evidence-based care by enhancing accuracy and efficiency, though challenges like data privacy and clinical validation remain.

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How to Cite

Shaghayegh Mahmoudiandehkordi, & Maryam Yeganegi. (2024). Transforming Gynecology with Artificial Intelligence: Advances in Clinical Practice. International Journal of Scientific and Applied Research (IJSAR), EISSN: 2583-0279, 4(9), 104–112. https://doi.org/10.54756/IJSAR.2024.25

Issue

Vol. 4 No. 9: IJSAR December-2024

Section

Articles

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Copyright (c) 2024 Shaghayegh Mahmoudiandehkordi, Maryam Yeganegi

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.