Ayoung Song
Papers
1
Total Citations
3
H-Index
1
About
Dr. Ayoung Song is a pioneering gynecologic surgeon whose research centers on minimally invasive reproductive surgery and ovarian reserve preservation. Her most notable work investigates how different surgical platforms affect ovarian function after benign ovarian cystectomy. In her landmark 2024 study, she compared the Da Vinci robotic systems (Xi and SP) with traditional laparoscopy, demonstrating that robotic-assisted techniques may better preserve anti-Müllerian hormone (AMH) levels—a critical marker of ovarian reserve. This research has already garnered 3 citations and provides essential guidance for surgeons choosing between advanced robotic platforms and conventional laparoscopy. Dr. Song’s contributions are particularly significant for reproductive-age women, as her findings help optimize surgical approaches to minimize fertility impact. By systematically evaluating the Xi and SP robotic systems against laparoscopy, she has advanced the evidence base for personalized surgical decision-making. Her work bridges cutting-edge robotic technology with clinical reproductive outcomes, establishing her as a key voice in the evolving field of fertility-sparing gynecologic surgery.
Research Focus
Key Achievements
Top Papers
- 1