AI system for identifying key structures in ear surgery
Official title: AI Recognition of Important Structures in Otolaryngological Surgery
Run by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · NCT06726551 · Data updated 2026-11-12
This study is testing a new AI system that helps surgeons find important parts of the ear during surgery to make the procedures safer and more effective.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 6 Months to 100 Years |
| Sex | All |
| Enrollment | 1000 (estimated) |
| Sponsor | Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Status | Recruiting |
| Started | January 1, 2020 |
| Main results expected | August 30, 2026 |
| Study ends | August 30, 2026 |
| Registry record updated | December 10, 2024 |
| Trial ID | NCT06726551 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients undergoing otolaryngological surgeries that require clear microscopic visualization, such as cochlear implantation or acoustic neuroma surgery.
✕Probably not a fit
Patients who do not have clear surgical video recordings or whose surgical areas cannot be adequately visualized will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study focuses on developing an artificial intelligence system designed to recognize and track critical anatomical landmarks during otolaryngological surgeries. By utilizing annotated data points, the AI aims to accurately identify structures such as the incus and lateral semicircular canal in real-time, enhancing the surgeon's ability to navigate complex surgical areas. The approach involves detailed image analysis and statistical predictions to ensure precise localization of important features, thereby potentially improving surgical outcomes.
Why it matters
Potential benefit: If successful, this AI system could significantly enhance the safety and effectiveness of otolaryngological surgeries by reducing the risk of damaging critical structures.
How similar studies have gone: While the use of AI in surgical settings is gaining traction, this specific application for otolaryngological surgery is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Performing otolaryngological surgeries such as cochlear implantation, endolymphatic sac decompression, semicircular canal plugging, and acoustic neuroma surgery using a microscope. 2. Microscopic exposure provides a comprehensive and clear view of the surgical area within the temporal bone. Exclusion Criteria: 1. No surgical video recording available. 2. Unclear visualization of the surgical area during microscopic otolaryngological procedures. 3. Incomplete visualization of the entire surgical process. 4. Patients who did not undergo high-resolution temporal bone CT at our hospital or Shenzhen Deep Bay Hospital.
Where it's running
-
Sun Yat-sen Memorial Hospital
Guangzhou, Guangdong, China Recruiting
Study contacts
- Study coordinator: Haidi Doctor Yang
- Email: yanghd@mail.sysu.edu.cn
- Phone: +86-131 7882 1663
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.