Reportedly, Hyperfine's Swoop portable brain MRI device has received its eighth FDA 510(k) clearance. This clearance grants clinicians access to enhanced denoising capabilities for diffusion-weighted imaging (DWI) sequences. With the addition of artificial intelligence (AI)-powered denoising, the FDA has approved the use of this technology in DWI sequences with the portable brain MRI system Swoop from Hyperfine. The expanded denoising capability, which was previously added to the device's T1, T2, and FLAIR MRI sequences, aims to provide crisper imaging and improve diagnostic accuracy with DWI sequences. Hyperfine's chief operating officer, Tom Teisseyre, stated that the company believes in making brain imaging more accessible and clinically relevant. He added that this significant update incorporates deep learning into the DWI sequence and will enhance image quality for healthcare professionals in time-sensitive environments. Hyperfine plans to introduce the DWI software update in the near future, following the FDA approval.
Additionally, Hyperfine's artificial intelligence (AI)-powered Caption Guidance technology is designed to assist clinicians without ultrasound expertise by providing stepwise instructions for optimal cardiac ultrasound image acquisition. In a three-part podcast, Anand Narayan, M. D. , Ph. D. , and Amy Patel, M. D. , discuss the challenges of expanding breast cancer screening amid radiologist shortages and increasing radiology worklists. The Rology teleradiology platform aims to improve access to top-tier imaging interpretation for stand-alone imaging centers, rural facilities, and low-income patients. An interview with two experts covers newly released guidance for using standardized MRI protocols for patients with a specific condition. Researchers have found that a combination of retrovesicourethral angle, functional urethral length, and bladder funnel on MRI exams in primiparous women accurately predicts postpartum stress urinary incontinence (SUI) with a 94. 7 percent AUC. The qXR-CTR leverages AI algorithms to provide automated cardiothoracic ratios (CTRs) through the assessment of plain chest radiographs.
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