ReviewUrologie (Heidelberg, Germany)2026
[Between catheters and artificial intelligence: High-tech urology-where manual skills meet digital expertise].
Review in Urologie (Heidelberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) in urology has evolved from an experimental technology to a relevant component of clinical processes. While early applications in imaging and robotic surgery are already established, decision-support systems, molecular analyses, and applications in practice management are increasingly gaining importance. The clinical benefit lies particularly in the integration of heterogeneous data, the reduction of variability, and the relief of healthcare personnel in an increasingly strained healthcare system. At the same time, substantial challenges remain regarding data quality, validation, transparency, and implementation within existing structures. This article analyzes current applications using concrete examples, evaluates their benefits in the context of real-world healthcare conditions, and discusses strategic perspectives for the sustainable integration of AI into urology.
Indexed as
Identifiers
42340471What 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.