Clinical Trial: Deep Learning Framework for Classification, 3D Segmentation & Visualization of C-shaped Canals

U.S., July 14 -- ClinicalTrials.gov registry received information related to the study (NCT07697378) titled 'Deep Learning Framework for Classification, 3D Segmentation & Visualization of C-shaped Canals' on July 05.

Brief Summary: The goal of this retrospective diagnostic accuracy study is to develop and validate a deep learning framework for the automated classification, three-dimensional (3D) segmentation, and visualization of C-shaped root canal anatomy using cone-beam computed tomography (CBCT) scans in adults with C-shaped root canals.

The main questions it aims to answer are:

Can a deep learning model accurately classify C-shaped root canal configurations from CBCT images? Can the model precisely segment the complex 3D anatomy of ...