Harnessing the power of machine learning to improve urology care

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Harnessing the power of machine learning to improve urology care

Urodynamics—a group of tests that evaluate how well the body collects, and then releases, urine—can be crucial for diagnosing urologic problems, particularly in children with spinal cord defects and other neurologic conditions. While urodynamics can provide clinicians with a rich set of data, the interpretation of these tests remains unstandardized. That can make it challenging for urologists to reliably read and analyze the results, says Hsin-Hsiao Scott Wang, MD, MPH, MBAn, a urologist in the Urodynamics Program at Boston Children’s Hospital.

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