ReviewJournal of exercise rehabilitation2021
Applications of artificial intelligence in urological setting: a hopeful path to improved care.
Review in Journal of exercise rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- The emerging landscape of artificial intelligence in robot-assisted surgery: a bibliometric and visualization analysis.Updates in surgery · 2026Article
- An Emerging Trend of At-Home Uroflowmetry-Designing a New Vibration-Based Uroflowmeter with Artificial Intelligence Pattern Recognition of Uroflow Curves and Comparing with Other Technologies.Diagnostics (Basel, Switzerland) · 2025Article
- The Association between Tea Consumption and Bladder Cancer Risk Based on the Bladder Cancer Epidemiology and Nutritional Determinants (BLEND) International Consortium.Nutrition and cancer · 2025Article
- Artificial intelligence for diagnosing bladder pathophysiology: An updated review and future prospects.Bladder (San Francisco, Calif.) · 2025Review
- New Challenges in Bladder Cancer Diagnosis: How Biosensing Tools Can Lead to Population Screening Opportunities.Sensors (Basel, Switzerland) · 2024Review
- General Overview of Artificial Intelligence for Interstitial Cystitis in Urology.International neurourology journal · 2023Article
- Motion prediction using brain waves based on artificial intelligence deep learning recurrent neural network.Journal of exercise rehabilitation · 2023Article
- Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement.Diagnostics (Basel, Switzerland) · 2023Review
- Intravesical Bladder Treatment and Deep Learning Applications to Improve Irritative Voiding Symptoms Caused by Interstitial Cystitis: A Literature Review.International neurourology journal · 2023Article
- An update on computational pathology tools for genitourinary pathology practice: A review paper from the Genitourinary Pathology Society (GUPS).Journal of pathology informatics · 2023Review
- Automated measurement of penile curvature using deep learning-based novel quantification method.Frontiers in pediatrics · 2023Article
- Current Applications of Artificial Intelligence in Benign Prostatic Hyperplasia.Turkish journal of urology · 2022Article
- Automated quantification of penile curvature using artificial intelligence.Frontiers in artificial intelligence · 2022Article
- ChatGPT for medical applications and urological science.International braz j urol : official journal of the Brazilian Society of UrologyArticle
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
Artificial intelligence (AI) has been introduced in urology research and practice. Application of AI leads to better accuracy of disease diagnosis and predictive model for monitoring of responses to medical treatments. This mini-review article aims to summarize current applications and development of AI in urology setting, in particular for diagnosis and treatment of urological diseases. This review will introduce that machine learning algorithm-based models will enhance the prediction accuracy for various bladder diseases including interstitial cystitis, bladder cancer, and reproductive urology.
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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.