April 25th 2024
An emerging deep learning radiomics model, based on B-mode ultrasound and color Doppler flow imaging, demonstrated a 91 percent AUC for predicting lymphovascular invasion in a multicenter study of women with invasive breast cancer.
Can Deep Learning Ultrasound Assessment be a Viable Option for Diagnosing Ovarian Cancer?
April 20th 2022A new study suggests that deep learning algorithms with multimodal ultrasound have comparable specificity and sensitivity to subjective expert assessment and use of the O-RADS classification to distinguish between benign and malignant ovarian tumors.
Is Handheld Ultrasound the 'New Stethoscope'?
March 2nd 2022In combination with cloud-based data infrastructure and artificial intelligence (AI) applications, handheld ultrasound devices may have the potential to significantly enhance efficiency for providers and contribute to improved patient outcomes.
Philips Expands Imaging Capabilities on Handheld Ultrasound Device
February 10th 2022In addition to newly added advances with hemodynamic assessment and obstetric measurements, Lumify also offers a B-line quantification tool and AI-enhanced algorithms that may bolster ultrasound lung imaging in severe COVID-19 cases.
COVID Vaccine Side Effects and Mammograms: What a New Study Reveals
February 8th 2022Emerging research suggests that mammograms should not be delayed for women who develop unilateral lymphadenopathy after receiving COVID-19 vaccines, and that follow-up imaging is unnecessary for patients who have no history of cancer or suspicious concurrent symptoms.
Proposed Algorithm for Axillary Ultrasound Evaluation in Breast Cancer Patients Seeks Middle Ground
November 5th 2021Investigators at Massachusetts General Hospital proposed an algorithm for appropriate axillary nodal imaging to better align with changes in treatment algorithms for axillary nodal disease in patients with breast cancer.
Understanding Breast Imaging Features of Transgender Women Is Key to Improving Care
September 9th 2021Feminizing hormone therapy may increase the risk of breast cancer in transgender women, a growing body of research suggests, underscoring a need for health care providers to understand the risks, breast imaging features, and health care needs of this demographic.