Adil Deniz Duru
Papers
2
Total Citations
4
H-Index
2
About
Adil Deniz Duru is a researcher whose work bridges the domains of sports science, cognitive performance, and surgical technology. His primary research areas include the effects of physical training on visual attention and reaction time, as well as the application of machine learning in medical performance evaluation. In his notable 2016 study, Duru investigated how multi-ball table tennis training influences visual reaction performance in children aged 9–12, demonstrating that sport-specific drills can significantly enhance cognitive processing speed and attentional awareness. This work, though early in its citation impact, highlights the practical intersection of exercise physiology and neuropsychology. Duru also contributed to the field of urological surgery with a 2018 editorial commentary on using machine learning and automated metrics to assess robot-assisted radical prostatectomy performance. His insights helped frame how artificial intelligence can objectively evaluate surgical skill and predict patient outcomes, a growing frontier in precision medicine. With a research portfolio that connects athletic training to high-stakes surgical environments, Duru exemplifies a multidisciplinary approach—showing how cognitive and motor performance can be optimized across very different domains. His work invites further exploration into how data-driven methods can enhance human performance, whether on the court or in the operating room.
Research Focus
Key Achievements
Top Papers
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