Archive for artificial intelligence
Machine learning algorithm could offer urologists a “crystal ball” for predicting VUR
Hydronephrosis is a common congenital anomaly that’s increasingly identified during prenatal ultrasound. Although ultrasound is also the first-line test to screen for hydronephrosis in infants, it is poor at determining dilating vesicoureteral reflux (VUR), one cause of hydronephrosis. A voiding cystourethrogram (VCUG) can better characterize VUR but is more invasive and costlier. But what if ... Read More about Machine learning algorithm could offer urologists a “crystal ball” for predicting VUR
Drawing on data to revolutionize pediatric urology
At first blush, data analytics — sifting through raw data to discover patterns and draw conclusions from them — seems far afield from the practice of pediatric urology. One discipline involves crunching numbers at a computer, while the other involves caring for patients in the clinic or operating room (OR). But for members of Boston ... Read More about Drawing on data to revolutionize pediatric urology
Predicting the best treatment for vesicoureteral reflux in kids: The power of machine learning
The result of abnormal formation of the normal valve between the kidney and bladder, vesicoureteral reflux (VUR) can lead to recurrent febrile urinary tract infections (UTIs) and kidney scarring in children. Previous research has shown that when taken continuously, prophylactic antibiotics can reduce the risk of recurrent UTI in about half of this population. However, ... Read More about Predicting the best treatment for vesicoureteral reflux in kids: The power of machine learning
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 ... Read More about Harnessing the power of machine learning to improve urology care
CHIP-ing away at health and medicine for 25 years: A look back
In 1994, when CHIP was formed, the dotcom boom was just dawning. iPhones and social media (except for the earliest versions) were more than a decade away. Bill Clinton was president. Isaac Kohane, MD, PhD, had just completed a fellowship in endocrinology at Boston Children’s Hospital under the mentorship of Joseph Majzoub, MD. He wanted ... Read More about CHIP-ing away at health and medicine for 25 years: A look back