Guillaume Tourrel

Papers

1

Total Citations

17

H-Index

1

About

Guillaume Tourrel is a researcher at the forefront of otologic surgery, specializing in the intersection of cochlear implantation, robotics, and machine learning. His most-cited work, "Electrical impedance guides electrode array in cochlear implantation using machine learning and robotic feeder" (2021, 17 citations), represents a significant leap in precision medicine for hearing restoration. Tourrel’s key contribution lies in developing a novel method that uses real-time electrical impedance measurements to guide the insertion of electrode arrays during cochlear implant surgery. By integrating a robotic feeder with machine learning algorithms, his approach minimizes trauma to the delicate inner ear structures, potentially improving hearing outcomes for patients. This work highlights his expertise in biomedical engineering and surgical robotics, addressing a critical challenge in preserving residual hearing. Though his citation count is still building, the innovative nature of his research—combining sensor feedback with autonomous robotic control—positions him as an emerging leader in the field. Tourrel’s achievements underscore a commitment to translating computational and engineering advances into tangible clinical benefits, offering a glimpse into the future of safer, more effective cochlear implantation.

Research Focus

Key Achievements

1
H-Index
1
Papers
17
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Electrical impedance guides electrode array in cochlear implantation using machine learning and robotic feeder
17 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago