Takahiro Igaki
Papers
1
Total Citations
1
H-Index
1
About
Takahiro Igaki is a Japanese surgical researcher whose work centers on refining robotic-assisted colorectal surgery, with a particular focus on improving operative efficiency and patient outcomes. His most notable contribution is the development of a predictive score for prolonged pelvic operation time in robot-assisted low anterior resection, a critical tool for preoperative planning in rectal cancer surgery. Drawing from a single-center, retrospective study in Japan, Igaki’s research identifies key patient and tumor characteristics that can help surgeons anticipate challenging cases, potentially reducing operative times and associated complications. While his most-cited paper currently holds 1 citation—reflecting its recent 2025 publication—his work represents a practical step toward personalized surgical strategies in minimally invasive oncology. Igaki’s research addresses the growing demand for data-driven benchmarks in robotic surgery, offering a framework that could be validated and adopted in broader clinical settings. His focus on predictive modeling underscores a commitment to translating retrospective data into actionable intraoperative guidance, marking him as an emerging voice in the field of colorectal surgical innovation.
Research Focus
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Top Papers
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