Wenjuan Gao
Papers
1
Total Citations
4
H-Index
1
About
Dr. Wenjuan Gao is a rising figure in surgical oncology and geriatric medicine, whose work harnesses machine learning to improve outcomes for elderly patients with colorectal cancer. Her most-cited study, "Construction of a risk factor prediction model for postoperative complications in elderly patients with colorectal cancer using machine learning" (2025, 4 citations), pioneers a data-driven approach to anticipate surgical risks in this vulnerable population. By integrating clinical variables with algorithmic analysis, Dr. Gao’s model offers a practical tool for personalized preoperative planning, aiming to reduce complication rates and enhance recovery. Though early in her citation trajectory, this work signals a significant shift toward precision risk stratification in geriatric surgery. Her research bridges the gap between artificial intelligence and clinical decision-making, addressing a critical need as the global population ages. Dr. Gao’s contributions underscore the potential of computational methods to transform postoperative care, making her a researcher to watch in the evolving landscape of oncology and health informatics.
Research Focus
Key Achievements
Top Papers
- 1