ArticleComputational and mathematical methods in medicine2022
Da Vinci Robot-Assisted Video Image Processing under Artificial Intelligence Vision Processing Technology.
Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 18 citations in OpenAlex.
- Application of artificial intelligence as postoperative support for patients undergoing thoracic surgery.Revista do Colegio Brasileiro de Cirurgioes · 2026Article
- Artificial Intelligence in Gastrointestinal Surgery: A Systematic Review of Its Role in Laparoscopic and Robotic Surgery.Journal of personalized medicine · 2025Review
- Artificial intelligence in surgical medicine: a brief review.Annals of medicine and surgery (2012) · 2025Review
- Advancing Robotic Single-Site Cholecystectomy: Innovations, Challenges, and Future Directions.Cureus · 2024Review
- 3D Da Vinci robotic surgery: is it a risk to the surgeon's eye health?Journal of robotic surgery · 2023Article
- Advanced surgical tool: Progress in clinical application of intelligent surgical robot.Smart medicine · 2022Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This research was aimed to explore the application value of intelligent algorithm-based digital images in Da Vinci robot-assisted treatment of patients with gastric cancer surgery. 154 patients were included as the research objects, with 89 cases in the control group underwent laparoscopic surgery, and 65 cases in the experimental group underwent robotic surgery. According to the propensity score, the patients in two groups were pair matched (1: 1), of which 104 cases (52 cases in each group) were successfully matched. The general data of patients, the changes in the images before and after the algorithm processing, the intraoperative and postoperative conditions, the pathological examination results, and the follow-up information were observed after matching. Compared with the original images, the images processed by the thread image edge detection algorithm had the significantly improved clarity, as well as highly reduced artifacts and noises. The sensitivity, specificity, and accuracy of image-assisted diagnosis were improved remarkably, showing the differences of statistical significance (
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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.