Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-24 @ 11:41 PM
Ignite Modification Date:
2025-12-24 @ 11:41 PM
NCT ID:
NCT06726551
Brief Summary:
Developing a system for artificial intelligence to recognize anatomical landmarks in otolaryngological surgery, enabling real-time tracking of critical temporal bone structures during surgery.
Detailed Description:
Take the example of the Al recognition and prediction of the incus, external semicircular canal, facial nerve, and facial nerve recess. Within the defined surgical area, annotated data points are utilized to identify and segment the incus and the lateral semicircular canal based on their relative positions and angles concerning the posterior wall of the external auditory canal and the surrounding tissues. Detailed descriptions of the incus and lateral semicircular canal within the surgical area include: Incus: The incus is a small anvil-shaped bone located in the middle ear. It connects to the malleus laterally and the stapes medially. Identifying the incus accurately is crucial due to its proximity to the facial nerve and its involvement in the ossicular chain that transmits sound vibrations. Lateral Semicircular Canal: This is one of the three semicircular canals in the inner ear, oriented horizontally. It is involved in detecting rotational movements of the head. Proper identification is necessary to avoid damaging the canal, which could result in vertigo or balance issues. Input features include further contrast adjustment and localized magnification of images. The enhanced images are classified and localized using the trained model, and the consistency of multiple frames is utilized to determine the final positions of the facial nerve and the facial recess. Statistical analysis is conducted to predict the positions of the facial recess relative to the incus and lateral semicircular canal, providing reference information for surgeons. The system continuously monitors changes in the surgical area, offering dynamic feedback and optimizing the model's accuracy and robustness through incremental training.
Study:
NCT06726551
Study Brief:
Protocol Section:
NCT06726551