Detection of hand motion during cadaveric mastoidectomy dissections: a technical note.

ABSTRACT:

Background

Surgical approaches that access the posterior temporal bone require careful drilling motions to achieve adequate exposure while avoiding injury to critical structures.

Objective

We assessed a deep learning hand motion detector to potentially refine hand motion and precision during power drill use in a cadaveric mastoidectomy procedure.

Methods

A deep-learning hand motion detector tracked the movement of a surgeon's hands during three cadaveric mastoidectomy procedures. The model provided horizontal and vertical coordinates of 21 landmarks on both hands, which were used to create vertical and horizontal plane tracking plots. Preliminary surgical performance metrics were calculated from the motion detections.

Results

1,948,837 landmark detections were

SUBMITTER: On TJ 

PROVIDER: S-EPMC11484057 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature