In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

Employing advanced deep learning convolutional neural networks, ProFound Detection Version 4.0 reportedly offers a 50 percent improvement in detecting cancer in dense breasts in comparison to the previous version of the software.

New research demonstrates that photon-counting computed tomography angiography (PC CTA) provides sensitivity, specificity, and accuracy rates of 90 percent and higher for the detection of stenotic disease in patients with peripheral artery disease (PAD).

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The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.

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In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

Recognizing the challenges of increasing imaging volume and workforce attrition in radiology, GE HealthCare has launched MyBreastAI Suite with the goal of facilitating improved breast cancer detection on mammography exams while streamlining radiology workflows with artificial intelligence (AI) tools.

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.

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Trained on over five million spine MRI scans, the RAI software reportedly facilitates rapid pathology detection and enhanced consistency with disc measurement.

Offering an all-in-one platform of artificial intelligence (AI) applications, MyBreastAI Suite reportedly facilitates early breast cancer detection and enhances efficiency with breast imaging workflows.

Employing advanced deep learning convolutional neural networks, ProFound Detection Version 4.0 reportedly offers a 50 percent improvement in detecting cancer in dense breasts in comparison to the previous version of the software.

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Studies have shown an 8 percent increase in sensitivity, a 6.9 percent increase in specificity and a 52 percent decrease of reading time with ProFoundAI for DBT, according to GE HealthCare. After radiologists have reviewed images from GE HealthCare’s full-field digital mammography (FFDM) devices, the company said they can utilize the SecondLook for 2D Mammography application to check for regions of interest they may have missed.

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The AI-enabled EchoGo® Amyloidosis software for echocardiography has reportedly demonstrated an 84.5 percent sensitivity rate for diagnosing cardiac amyloidosis in heart failure patients 65 years of age and older.

“Through this new all-in-one AI platform designed to offer radiologists enhanced clinical decision support and streamlined workflows, clinicians will be able to deliver more timely, accurate and personalized breast care in their practices today,” said Mario Lois, the general manager of AI for Women’s Health at GE HealthCare. “We know that early detection is key and AI solutions show great promise in advancing breast cancer screening and transforming workflow for radiologists.”

New research demonstrates that photon-counting computed tomography angiography (PC CTA) provides sensitivity, specificity, and accuracy rates of 90 percent and higher for the detection of stenotic disease in patients with peripheral artery disease (PAD).

GE HealthCare also noted that the AI-powered mammogram analysis of PowerLook Density Assessment facilitates standardized reporting and risk stratification with breast density evaluation.

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Trained on over five million spine MRI scans, the RAI software reportedly facilitates rapid pathology detection and enhanced consistency with disc measurement.

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.

MyBreastAI Suite, an all-in-one AI platform geared to detection and assessment of breast cancer, features three AI applications developed by iCAD: ProFound AI for DBT (digital breast tomosynthesis), SecondLook for 2D Mammography, and PowerLook Density Assessment.