ClinicalTrials.gov
public full text
Public Domain
Impact of Robotic Cochlear Implantation on Hearing Performance in Noise
The purpose of this study is to compare two methods of cochlear implantation : conventional manual insertion versus robot-assisted in order to verify whether robotic insertion provides better performance in the noisy environment. To do this, we will compare the two methods of insertion of the electrode holder, on 140 patients candidates for cochlear implantation randomized in two groups (70 conventional surgery versus 70 robot-assisted surgery). All patients will be recruited during 17 months, in our Ear, nose and throat (ENT) Department of the Pitié-Salpêtrière hospital group, the first center for adult patients established in France (on average 180 patients/year). Patient will be followed for 9 months with clinical evaluation, imaging, audiometric, listening effort and quality of life assessments. These evaluations will be carried out preoperatively and postoperatively at 3 months and 6 months post-activation of the cochlear implant.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Robotic Assisted Cochlear Implantation Feasibility Study#1184704
- Clinical and quantitative radiologic evaluation of cochlear implant candidates: implications for surgical planning#269687
- Three-dimensional models of cochlear implants : a review of their development and how they could support management and maintenance of cochlear implant performance#306309
- Robot Based Tympanic Tube Placement#883314
- 4DO-DETR for otitis media detection.#275458
Record · ID 1185117
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive