ReviewArab journal of urology2025
Artificial intelligence in urology: Revolutionizing diagnostics and treatment planning.
Review in Arab journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- The emerging landscape of artificial intelligence in robot-assisted surgery: a bibliometric and visualization analysis.Updates in surgery · 2026Article
- Evaluation of Artificial Intelligence as a Decision-Support Tool in Urological Tumor Boards: A Study in Real Clinical Practice.Journal of clinical medicine · 2026Article
- The Evolving Role of Artificial Intelligence in Andrological Surgery: Current Landscape and Future Direction.Journal of clinical medicine · 2026Review
- Artificial Intelligence as a Diagnostic Tool for Benign Prostatic Hyperplasia (BPH): A Narrative Review.Research and reports in urology · 2026Review
- Application of AI in predicting postoperative infections using routine blood parameters.Bioinformation · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) is rapidly transforming the field of urology, offering unprecedented advancements in diagnostics and treatment planning. This review explores the integration of AI across various urological practices, highlighting its impact on improving diagnostic accuracy, optimizing treatment strategies, and enhancing patient monitoring. We examine the role of AI in imaging, pathology, and personalized medicine, as well as its contributions to robotic-assisted surgeries and remote patient care. The article also addresses the ethical and legal challenges posed by AI, including issues of data privacy, algorithmic bias, and regulatory oversight. Despite these challenges, the potential of AI to revolutionize urology is immense, promising more precise, efficient, and patient-centered care. As AI technologies continue to evolve, their integration into urology will likely lead to significant improvements in patient outcomes and the overall quality of care.
Indexed as
Identifiers
What 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.