ReviewInternational neurourology journal2026
Transforming Urological Care With Artificial Intelligence Chatbots: From Digital Assistants to Clinical Partners.
Review in International neurourology journal, 2026. 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
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
1 citing paper in PubMed.
- Evolutionary Frontiers in Urology: Expanding Clinical Care Through Devices and Intelligence.International neurourology journal · 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
Abstract
Artificial intelligence (AI) chatbots are transforming the delivery of urological care, evolving from simple digital assistants into emerging clinical partners that support patients and clinicians across the care continuum. This review traces this transformation by examining the development, clinical applications, and persistent challenges of AI-driven chatbots in urology. Across the patient journey, these systems are reshaping how urological care is accessed and experienced, from early symptom screening and patient education to lifestyle management, clinical decision support, and postoperative follow-up. Although these advances show considerable promise, important challenges remain regarding accuracy, data privacy, and empathic communication. Looking ahead, next-generation multimodal and on-device AI systems may further advance this transformation, positioning chatbots as increasingly important clinical partners in the delivery of high-quality, personalized, and patient-centered urological 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.