Papers

3

Total Citations

14

H-Index

2

About

Dhivya Chandrasekaran is a leading researcher at the intersection of gynecological oncology, robotic surgery, and artificial intelligence. Her work focuses on transforming surgical training and patient outcomes through objective assessment and predictive analytics. She has made major contributions by systematically reviewing and defining objective assessment tools for laparoscopic and robotic-assisted gynecological surgery, establishing metrics crucial for proficiency-based surgical training. Her research also demonstrates the significant impact of introducing robotic surgery on improving outcomes for obese women with endometrial cancer, a high-risk patient population. With her most cited paper (8 citations) providing a foundational framework for surgical skill evaluation, and her most recent work pioneering deep learning models to predict surgical skills and technical errors in real time, Chandrasekaran is at the forefront of integrating AI into the operating room. Her studies, conducted at a London tertiary cancer unit, are shaping the future of safer, more effective, and data-driven gynecological surgery.

Research Focus

Key Achievements

2
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Objective assessment tools in laparoscopic or robotic‐assisted gynecological surgery: A systematic review
8 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University College Hospital, University College London Hospitals NHS Foundation Trust, University College London

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago