Papers
3
Total Citations
36
H-Index
3
About
Quanbo Zhou is a leading colorectal surgeon and researcher whose work sits at the intersection of advanced surgical techniques and artificial intelligence. His primary research areas include minimally invasive colorectal cancer surgery—specifically open, laparoscopic, and robotic approaches—and the development of predictive, AI-driven models to improve surgical outcomes. Zhou’s major contributions include a landmark comparative study assessing the safety and radicality of open, laparoscopic, and robotic colorectal cancer surgery (19 citations), which has helped guide surgical decision-making. More recently, he has pioneered the use of artificial intelligence in surgical prognostics, developing a hybrid survival assessment system for robot-assisted proctectomy (12 citations) and a predictive model for surgical difficulty in robot-assisted total mesorectal excision for rectal cancer (5 citations). These works, published in 2024, represent a significant step toward personalized, data-driven surgical planning. Zhou’s research not only advances technical precision but also integrates computational tools to enhance patient recovery and surveillance. His work is increasingly cited as robotic surgery becomes more prevalent, positioning him as a key figure in the future of colorectal cancer care.
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