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About

Isuru Jayaratna is a leading figure in urological surgery and robotic surgical training, whose work has significantly advanced both operative techniques and the assessment of surgical skills. His research focuses on two key areas: optimizing outcomes in robotic partial nephrectomy and standardizing robotic surgery education. Jayaratna’s most impactful contribution is the pioneering use of near-infrared fluorescence imaging to enable super-selective arterial clamping during zero-ischaemia robotic partial nephrectomy, a technique that minimizes warm ischaemia time and preserves postoperative renal function—a study that has garnered 146 citations. He has also been instrumental in the validation of the Global Evaluative Assessment of Robotic Skills (GEARS), a tool now widely used to objectively assess robotic surgical proficiency, with his 2015 validation paper cited 128 times. Furthermore, his comparative assessment of three standardized robotic surgery training methods (inanimate, virtual reality, and in vivo) has provided crucial evidence for curriculum design, earning 114 citations. More recently, Jayaratna developed the PCAP model to predict prostate cancer at the apex, aiding surgical planning in robot-assisted radical prostatectomy. His work bridges the gap between innovative surgical practice and rigorous educational standards, making him a key contributor to the field.