作者: Zine-Eddine Khene , Rose Khavari , Imad Bentellis , Benoit Peyronnet , Sonia Guérin
DOI: 10.1097/MOU.0000000000000888
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摘要: Purpose of review The aim the present manuscript is to provide an overview on current state artificial intelligence (AI) tools in either decision making, diagnosis, treatment options, or outcome prediction functional urology. Recent findings Several recent studies have shed light promising potential AI urology investigate lower urinary tract dysfunction pathophysiology but also as a diagnostic tool by enhancing existing evaluations such dynamic magnetic resonance imaging urodynamics. may improve surgical education and training because its automated performance metrics recording. By bringing models, strong therapeutic implications field near future. be implemented innovative devices e-bladder diary electromechanical sphincter could facilitate development remote medicine. Summary Over past decade, enthusiasm for has been rising exponentially. Machine learning was well known, increasing power processors amount data available provided platform deep expand. Although literature applications technology relatively sparse, possible uses are countless especially training, imaging, urodynamics, devices.