ArticleJournal of fluorescence2025
Feasibility of Simultaneous Artificial Intelligence-Assisted and NIR Fluorescence Navigation for Anatomical Recognition in Laparoscopic Colorectal Surgery.
Article in Journal of fluorescence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Histopathological proof-of-concept validation of AI-assisted peripheral neural track recognition during laparoscopic gastrointestinal surgery.Surgical endoscopy · 2026Article
- A novel biliary-specific near-infrared fluorescent dye (BL-760) enhances visualization of the biliary tree in a swine inflammatory model of bile duct obstruction.Surgical endoscopy · 2025Article
- Artificial Intelligence in Gastrointestinal Surgery: A Systematic Review of Its Role in Laparoscopic and Robotic Surgery.Journal of personalized medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Ureters can be visualized on a monitor via fluorescence observation technology and an near-infrared (NIR) fluorescent ureteral catheter (NIRFUC). Eureka, an artificial intelligence (AI) platform, can be used to analyze surgical videos and highlight nerves and loose connective tissue (LCT) in the dissection layer. In this study, we aimed to evaluate the feasibility of using simultaneous NIRFUC and AI assistance for anatomical recognition during laparoscopic surgery. The research target was video recordings of laparoscopic colorectal surgery in which the ureters were visualized using an NIRFUC (n = 56, November 2022 to May 2024). Eureka was used to analyze the nerves and LCTs in these videos. Three physicians reviewed and analyzed the videos, scoring the fluorescence visualization of the ureters and LCT by Eureka, the fluorescence visualization of the ureters and hypogastric nerve by Eureka, and the fluorescence visualization of the ureters and lumbar splanchnic nerves by Eureka, using a Likert scale. The scoring system was as follows: 0, very poor; 1, poor; 2, acceptable; 3, good; and 4, very good. The mean Likert scale score was 3.99 for the ureters and LCT, 3.11 for the ureters and hypogastric nerve, and 3.53 for the ureters and lumbar splanchnic nerves. The training data used for this AI model did not include NIR fluorescence image observations. Anatomical highlighting with AI and fluorescence visualization of the ureters were possible in the images analyzed by Eureka. These findings suggest that both AI and NIR can be used simultaneously for real-time navigation in the future.
Indexed as
Identifiers
39576460What 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.