ReviewJournal of clinical medicine2025
Technological Advances in Intra-Operative Navigation: Integrating Fluorescence, Extended Reality, and Artificial Intelligence.
Review in Journal of clinical medicine, 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
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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.
- Eye-hand coordination during robotic prostate cancer surgery - how surgical vision reflects on instrument kinematics and vice versa.Journal of robotic surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Surgical navigation is a rapidly advancing area of innovation that has extended from its roots as a tool based on rigid anatomical landmarks into the complex domain of soft-tissue surgery. Three complementary technologies-fluorescence-guided surgery (FGS), extended reality (XR), and artificial intelligence (AI)-are converging to provide real-time visualisation and decision support. FGS, most often currently using indocyanine green (ICG), is now widely applied for perfusion assessment, lymphatic mapping, and biliary anatomy delineation, with growing evidence of improved surgical safety and efficacy. Targeted fluorophores are under development to enable disease-specific imaging, while XR platforms can overlay three-dimensional reconstructions onto the operative field to enhance spatial orientation. AI offers the potential to standardise interpretation, reduce variability, and analyse complex intra-operative datasets to guide surgical decisions. Despite these advances, significant barriers remain before broad clinical deployment, including technical limitations, limited high-quality evidence, training demands and regulatory and ethical challenges. The near future of surgical navigation lies in integrating FGS, XR, and AI into a cohesive system that enhances precision, safety, and outcomes and remains adaptable to future imaging and therapeutic innovations.
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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.