Philip Begg

University Hospitals Birmingham NHS Foundation Trust, Aston University, NIHR Surgical Reconstruction and Microbiology Research Centre

Papers

Total Citations

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About

Philip Begg is a pioneering researcher at the intersection of robotics, machine learning, and otologic surgery, with a primary focus on advancing cochlear implantation techniques. His work centers on developing intelligent robotic systems to enhance surgical precision and outcomes for patients with sensorineural hearing loss. Begg’s major contributions include the design and validation of a hand-guided robotic drill for cochleostomy, which demonstrated superior safety and reduced cochlear trauma compared to conventional methods in human cadaver trials. He also pioneered the use of electrical impedance sensing combined with machine learning to guide electrode array insertion during cochlear implantation—a breakthrough that promises to improve hearing preservation. His most cited paper (17 citations) on this impedance-guided robotic feeder represents a significant step toward automated, atraumatic surgery. Begg’s comprehensive review of robotic systems for cochlear implant surgeries (2025) further solidifies his role as a thought leader in the field. His work on noise exposure during cochleostomy provides critical insights into minimizing acoustic trauma. Through these innovations, Begg is shaping the future of minimally invasive, robot-assisted hearing restoration.