FDA Clears AI-Powered Bladder Volume Measurement for Handheld Ultrasound
Offering enhanced utility for assessing urinary incontinence, bladder emptying and urinary retention, the Clarius Bladder AI ultrasound software reportedly provides bladder volume measurement in seconds.
The Clarius Bladder AI ultrasound software, which may have significant utility in acute care settings, urology clinics and nursing homes, has garnered 510(k) clearance from the Food and Drug Administration (FDA).
Clarius Mobile Health, the manufacturer of Clarius Bladder AI, said the software provides automated bladder volume measurements in seconds.
The artificial intelligence (AI)-powered software is particularly useful for assessing urinary retention and bladder emptying in cases involving obstruction of the urinary tract or patients with a neurogenic bladder, according to the company.
Reportedly capable of providing automated bladder volume measurements in seconds, Clarius Bladder AI is particularly useful for assessing urinary retention and bladder emptying in cases involving obstruction of the urinary tract or patients with a neurogenic bladder, according to Clarius Mobile Health, the manufacturer of the software.
“Bladder AI removes the tedious steps of calculating bladder volume in my patients with urinary retention,” says Oron Frenkel, M.D., an emergency physician who practices in the United States and Canada. "It helps me quickly identify who needs a catheter placed or further investigation for any urinary or abdominal pain symptoms."
Clarius Mobile Health noted that other clinical applications for Clarius Bladder AI include evaluation of upper urinary tract disease in acute care settings and urinary incontinence, which may affect up to 70 percent of nursing home residents.
Clarius Bladder AI is available with the Clarius Mobile Health handheld ultrasound models PAL HD3, PA HD3 and C3 HD3, according to the company.
FDA Clears Virtually Helium-Free 1.5T MRI System from Siemens Healthineers
June 26th 2025Offering a cost- and resource-saving DryCool magnet technology, the Magnetom Flow.Ace MRI system reportedly requires 0.7 liters of liquid helium for cooling over the lifetime of the device in contrast to over 1,000 liters commonly utilized with conventional MRI platforms.
Can CT-Based Deep Learning Bolster Prognostic Assessments of Ground-Glass Nodules?
June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.
