AI Recognition of Important Structures in Otolaryngological Surgery

Recruiting now

Conditions studied: Otolaryngological Diseases Requiring Mastoidectomy, Middle Ear Surgery, Endolymphatic Sac Surgery, Cochlear Implant, Labyrinthectomy, Petrous Apex Lesions, Facial Nerve Surgery, and Lateral Skull Base Tumors

In brief

Developing a system for artificial intelligence to recognize anatomical landmarks in otolaryngological surgery, enabling real-time tracking of critical temporal bone structures during surgery.

Key facts

Study ID

NCT06726551

Run by

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

People needed

1000

Starts

2020-01-01

Expected to finish

2026-08-30

Last updated by the study team

2024-12-10

Who can join

Age: 1 and older, up to 100. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Performing otolaryngological surgeries such as cochlear implantation, endolymphatic sac decompression, semicircular canal plugging, and acoustic neuroma surgery using a microscope.
• Microscopic exposure provides a comprehensive and clear view of the surgical area within the temporal bone.

You may not qualify if…

• No surgical video recording available.
• Unclear visualization of the surgical area during microscopic otolaryngological procedures.
• Incomplete visualization of the entire surgical process.
• Patients who did not undergo high-resolution temporal bone CT at our hospital or Shenzhen Deep Bay Hospital.

Where it is running

• Sun Yat-sen Memorial Hospital — Guangzhou, Guangdong, China (enrolling)

Full record on ClinicalTrials.gov

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