SynthesisJournal of robotic surgery2025
Next-gen vision: a systematic review on robotics transforming ophthalmic surgery.
Synthesis in Journal of robotic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Research trends and hotspots in robot-assisted ophthalmic surgery: a bibliometric and visualization study.Journal of robotic surgery · 2026Review
- Intelligent therapeutic robotic-assisted surgery as the next frontier of precision oncology.Frontiers in oncology · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Robotics in ophthalmic surgery marks a major advancement in surgical accuracy, safety, and therapeutic outcomes. This systematic review evaluates the evolution, current clinical applications, and future prospects of robotic systems in ophthalmology. A comprehensive literature search was performed in PubMed, Scopus, and Web of Science databases for studies published from 2000 to 2025. Following PRISMA guidelines, clinical trials, observational studies, and technological reports on robotic-assisted ophthalmic procedures were included. Two independent reviewers screened studies for eligibility, extracted data on robotic platforms, surgical procedures, outcomes, and complications, and assessed study quality. A total of 126 studies met inclusion criteria, evaluating systems such as the da Vinci Surgical System and the Preceyes Surgical System. These platforms demonstrated enhanced dexterity and stability, enabling surgeons to perform complex procedures such as retinal vein cannulation and epiretinal membrane peeling with sub-micrometer precision. The integration of artificial intelligence and real-time image guidance improved intraoperative decision-making and surgical performance. Challenges reported included high costs, steep learning curves, and regulatory hurdles. Emerging technologies such as telesurgery, haptic feedback, and autonomous systems were identified as promising advancements that may further improve ophthalmic surgery. Robotic-assisted ophthalmology improves surgical outcomes and redefines surgical capabilities. Despite current limitations, ongoing technological developments suggest a future where patient safety and precision are optimally balanced, enhancing the scope and success of ophthalmic surgery.
Indexed as
Identifiers
40762731What 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.