ArticleJournal of thoracic disease2025
Non-contact artificial intelligence-assisted intraoperative 3D navigation technology prospective application study in lung cancer surgery.
Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Artificial intelligence in thoracic surgery: a narrative review of clinical advances and applications in 2025.Journal of thoracic disease · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
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 segmentectomy were randomly divided into two groups. The experimental group received the assistance of a non-contact 3D navigation system during surgery, while the control group received the assistance of an assistive display after traditional 3D reconstruction. The two groups were compared in terms of blood loss, surgical success rate, operation time, navigation time, operator satisfaction, and other indicators. Results: The experimental group had a shorter navigation time during surgery (50-107 Conclusions: The use of a non-contact intraoperative 3D navigation system can greatly increase navigation efficiency and provide surgeons with a higher level of navigation satisfaction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.