Daniel Haik
Papers
1
Total Citations
8
H-Index
1
About
Daniel Haik is a researcher at the intersection of surgical education and biomedical engineering, whose work focuses on objectively quantifying surgical performance. His primary research areas include surgical skill assessment, surface electromyography (sEMG), and the ergonomics of minimally invasive surgery. Haik’s most notable contribution, the 2022 paper "Beyond Efficiency: Surface Electromyography Enables Further Insights into the Surgical Movements of Urologists," has garnered 8 citations and introduces a novel approach to evaluating urological surgeons. By moving beyond traditional metrics like operative time, Haik demonstrates how sEMG can capture subtle neuromuscular patterns that differentiate novice from expert movements, offering deeper insights into surgical dexterity and fatigue. This work has significant implications for training curricula, enabling more targeted feedback and early intervention for trainees whose skills lag behind their experience level. Haik’s research bridges the gap between clinical urology and wearable sensor technology, positioning him as an emerging voice in the push toward data-driven, objective surgical education.
Research Focus
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Top Papers
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