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Mar 24, 2009

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Latest in Ultrasound
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CEUS outshines color Doppler imaging for indeterminate kidney lesions
By Amerigo Allegretto
CEUS outperformed color Doppler ultrasound in a study focusing on indeterminate kidney lesions.
February 13, 2026
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Gadoxetate MRI offers high sensitivity for liver cancer screening
By Kate Madden Yee
"Most participants undergoing HCC screening had excellent MRI quality even when ultrasound was limited," researchers noted.
February 10, 2026
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Could CEUS improve BI-RADS assessment?
By Amerigo Allegretto
Adding Contrast-enhanced ultrasound (CEUS) to BI-RADS could help improve classification of breast lesions.
February 6, 2026
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In the first episode of the Ultrasound MinnieCast, Richard Barr, MD, discusses what's in store for CEUS in 2026.
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Insightec gets Health Canada nod for Exablate Prime system
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Insightec has received approval from Health Canada for the Exablate Prime system.
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Exablate Prime, Insightec’s MR-guided focused ultrasound system.
GEHC collaborates with Diagnoly to integrate AI into prenatal ultrasound
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Diagnoly’s Fetoly AI software will be integrated within GEHC's Voluson women’s health ultrasound systems.
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MIT team reports success from wearable breast ultrasound device
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Researchers have developed a wearable breast ultrasound device that successfully imaged breast cysts in a patient.
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A new imaging system developed by MIT researchers consists of a small ultrasound probe (left) attached to an acquisition and processing module that is a little larger than a smartphone.
New Pitt institute to bring imaging insights from space to Earth
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The University of Pittsburgh Health Sciences has launched the Trivedi Institute for Space and Global Biomedicine.
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Beyond commoditization: How ultrasound AI vendors can thrive
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A new article from Signify Research discusses current market dynamics for ultrasound AI.
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Should HHUS or ABUS be used for second-look breast imaging?
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Handheld ultrasound (HHUS) and automated breast ultrasound (ABUS) could be used for second-look breast imaging.
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The study found that the model was effective even when the images were acquired by noncardiologists using handheld devices.
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A model that uses ultrasound and clinicopathological features can predict treatment success in breast cancer patients.
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