Artificial Intelligence Assisted Urodynamics: Improving Diagnostic Accuracy

Background Urodynamic testing is a diagnostic tool in the evaluation of lower urinary tract function and dysfunction especially in patients with disorders of storage and voiding. They offer objective information that directs management and treatment decisions. New developments in artificial intelligence (AI), such as machine learning and deep learning algorithms, have started to revolutionize urodynamic analysis by increasing diagnostic performance, automating interpretation of data, and minimizing subjectivity.  Objective To assess the place of urodynamic studies, including AI technologies, in the multidisciplinary work-up of patients with lower urinary tract functions and dysfunctions.  Materials and Methods The data were collected through literature review of various sources like medical journals. Studies highlighting the indications, methods, clinical applications, and new AI utilization in urodynamic studies were selected and reviewed to synthesize existing evidence and trends.  Results: The combination of AI technologies has also raised their diagnostic value by permitting computer interpretation of urodynamic graph, limiting observer variation, and fast analysis. The latest advances are AI calculation that can recognize detail patterns linked to voiding and storage symptoms, thereby helping clinicians distinguish underlying reasons more correctly. These advances hold to reduce work, improve diagnostic reliability, and allow accurate treatment plans.  Conclusion Urodynamic testing continues to be important in the diagnostic evaluation of lower urinary tract disease. With the introduction of AI, they become even more effective by allowing more accurate, simple, and automated analysis. These combinations more important for specific treatment plan and findings. Additional refinement and verification of AI- technology urodynamic instruments promise much for the future of urology, with a potential shift towards becoming an important part of routine clinical practice.