Wearable Devices for Continuous Monitoring of Bladder Function: A Review of Current Approaches and Future Perspectives
GÖKHAN ECER, Erkan ARSLAN
- Year : 2026
- Vol : 6
- Issue : 1
- Page :
42-49
The integration of artificial intelligence (AI) and wearable technologies into healthcare has driven significant progress in patient monitoring, especially in diagnosing and managing urological disorders. These innovations allow continuous, non-invasive, and patient friendly monitoring of bladder functions. In conditions such as urinary incontinence, neurogenic bladder, benign prostatic hyperplasia, and bladder outlet obstruction, conventional methods lack continuous tracking capabilities and may reduce patient comfort. This review assesses artificial intelligence integrated wearable systems, focusing on their technical features, clinical potential , accuracy , advantages , and limitations. Currently, systems using ultrasound, microwave, electrical bioimpedance, capacitive sensors, near-infrared spectroscopy (NIRS), electromyography (EMG), and optical sensors are under development. Integrated with artificial intelligencealgorithms, these technologies can track bladder filling, voiding time, and functional capacity with high accuracy in real time. This study systematically reviewed research from the past decade and compared devices based on clinical efficiency, usability, safety, and market availability. Ultrasound based devices are the most developed and commercially available among all technologies. Microwave and bioimpedance methods, however, remain experimental and require further validation. The analytical strength of artificial intelligence enhances the integration of these systems into clinical decision-making and supports personalized treatment approaches. Nevertheless, further prospective and randomized clinical studies are essential, particularly in pediatric, geriatric, and special patient populations. Ultrasound systems appear closest to clinical use, while microwave and bioimpedance technologies still demand more validation. artificial intelligence's data processing capabilities improve integration into clinical workflows and enable tailored patient care. Still, broader trials in varied patient groups are needed for widespread clinical implementation.
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None of the authors, any product mentioned in this article,
does not have a material interest in the device or drug. Research,
not supported by any external organization.
grant full access to the primary data and, if requested by the magazine
they agree to allow the examination of data.
Wearable Devices for Continuous Monitoring of Bladder Function: A Review of Current Approaches and Future Perspectives, Review Article,
2026,
Vol.
6
(1)
Received : 12.06.2025,
Accepted : 11.09.2025
,
Published Online : 08.04.2026
Mevlana Tıp Bilimleri
ISSN: ;
E-ISSN: 2757-976X ;