Papers

1

Total Citations

2

H-Index

1

About

E.G. Kotova is a pioneering researcher at the intersection of artificial intelligence and reproductive medicine, with a primary focus on how AI technologies can transform gynecological surgery and fertility care. Her most-cited work, “Artificial intelligence in reproductive medicine and surgery” (2025, 2 citations), lays the groundwork for personalized approaches to diagnosing and treating reproductive system disorders, leveraging machine learning to predict patient outcomes with unprecedented accuracy. Kotova’s contributions are particularly notable for their alignment with national strategies aimed at integrating digital health innovations into clinical practice, positioning her as a key figure in the emerging field of AI-assisted operative gynecology. Her research addresses critical challenges in reproductive health, from optimizing in vitro fertilization protocols to enhancing surgical precision through predictive algorithms. While her citation count is still growing, the foundational nature of her work signals its potential to reshape reproductive medicine. Kotova’s achievements include bridging the gap between computational models and real-world clinical applications, making her a vital voice for students and researchers exploring the future of AI in healthcare.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence in reproductive medicine and surgery
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Ministry of Health of the Russian Federation

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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