Unknown

Dataset Information

Non-contact artificial intelligence-assisted intraoperative 3D navigation technology prospective application study in lung cancer surgery.


ABSTRACT:

Background

Precise minimally invasive lung cancer surgery supported by three-dimensional (3D) reconstruction navigation is currently an important means of treating early-stage lung cancer. In conventional intraoperative 3D reconstruction navigation, the operation of the display requires assistance from an assistant, resulting in suboptimal real-time performance and surgeon autonomy. To overcome the limitations of previous navigation technologies, this study developed a surgeon-autonomous non-contact intraoperative 3D navigation system and conducted a prospective exploration of its clinical application value in lung cancer surgical procedures.

Methods

From March 2022 to March 2025, a total of 62 patients with early-stage lung cancer who were eligible for pulmonary segmentecto

SUBMITTER: Li C 

PROVIDER: S-EPMC12688551 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature