Oncology Ultrasound

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Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top radiology content of the past week.

Catch up on the top radiology content of the past week.

Adjunctive AI offered greater than seven percent increases in sensitivity, specificity, and accuracy for ultrasound detection of ovarian cancer in comparison to unassisted clinicians who lacked ultrasound expertise, according to findings from new international multicenter research.

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Catch up on the top radiology content of the past week.

The Sonire Therapeutics ultrasound system is currently being studied for the treatment of patients with unresectable pancreatic cancer refractory or intolerant to first-line chemotherapy.

The new ultrasound platform reportedly offers a combination of enhanced imaging and AI-enabled tools to facilitate improved workflow efficiency.

Catch up on the top radiology content of the past week.

In a multicenter study of over 370 women who had surgery for ovarian cystic lesions without acute symptoms, researchers found that 42 percent of the resected lesions were deemed to have an O-RADS ultrasound risk score of 2, which has less than a one percent chance of malignancy.

The Piur tUS Infinity system reportedly reduces operator dependency with ultrasound through upgrading of two-dimensional ultrasound devices and access to 3D multiplanar image reconstructions of thyroid conditions.

Providing automated TI-RADS classifications and worksheets, the new AI-enabled software may facilitate improved efficiency with thyroid ultrasound exams.

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Developed with breast ultrasound data from nearly 1,200 women, a model with mixed radiomic and autoencoder features had a 90 percent AUC for diagnosing breast cancer, according to new research.

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Catch up on the top AI-related news and research in radiology over the past month.

Catch up on the top radiology content of the past week.

Adding two key findings from contrast-enhanced ultrasound to a predictive model of mammography, conventional ultrasound and clinicopathological findings led to a 86.1 percent AUROC for predicting the upgrading of ductal carcinoma in situ to invasive breast cancer, according to new research.

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External validation testing revealed a deep learning combination of breast MRI, ultrasound and clinical factors had a 10 percent higher AUC for predicting axillary lymph node metastasis than sole use of MRI- or ultrasound-based deep learning models in patients with breast cancer.

Featuring the previously FDA-cleared BioTraceIO Vision and BioTraceIO Precision modalities, the BioTrace software suite combines real-time ultrasound guidance and advanced AI technology to help bolster outcomes with liver tumor ablation therapy.

Catch up on the most-well viewed radiology content in July 2024.

Catch up on the top radiology content of the past week.