Urologists at Cleveland Clinic have found a new application for machine learning within their field, and they’re using it to improve shared decision making in the treatment of a common urologic diagnosis: overactive bladder.
Machine Learning Is Predicting Outcomes in Patients With Overactive Bladder
Novel machine learning algorithms can make predictions about treatment outcomes in patients with overactive bladder that are similar to— or even more precise — than those of a specialist.
The UroMonitor Advances to In-Human Trials
A wireless, insertable pressure sensor to assist in the diagnosis of urinary incontinence and other bladder disorders is safe, feasible and well-tolerated in women with refractory overactive bladder.
How Does Sacral Neuromodulation Work for Patients With Overactive Bladder?
Improving our understanding of the mechanism of action of SNM could help improve the selection of patients who might benefit from this treatment and potentially allow for improvements in the technology.
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Calming the Overactive Bladder: An Update on New Devices and Technologies Emerging
Cleveland Clinic urologists evaluate the latest OAB interventions, from nerve stimulation to radiofrequency ablation.
Minimally Invasive Treatment Options for Female Incontinence
When conservative treatments or medical management don’t help with OAB, neuromodulation has proven successful for older patients. A urologist highlights the different treatment options.