CureMetrix Board Member, Dr. Razelle Kurzrock, Honored as Woman in Tech and Woman of Influence

Posted by Dawn Anderson, SVP Marketing on Apr 26, 2021 3:59:35 PM

 

Razelle Kurzrock, MD, CureMetrix Board Member, was recognized as Woman in Tech and a Woman of Influence by the San Diego Business Journal.

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Topics: radiology, AI, breast cancer, mammogram, cmTriage, artificial intelligence, mammography, screening, CAD, AI-CAD, Machine Learning, breast cancer awareness, AI Mammogram, black history month, Breast imaging, BI-RADS Atlas 5th Edition, FFPI, Dense Breast, Ethnic disparities, BRCA, Ashkenazi Jewish, Asian Women, Brazilian women, African American Women

Radiology: What can AI do for your practice’s bottom line? 3 ways AI makes a difference for the financial health of a practice

Posted by Greg Houlgate, Chief Revenue Officer at CureMetrix on Mar 31, 2021 8:00:00 AM

 

It’s no secret that artificial intelligence (AI) has arrived in radiology and that AI-based CAD is good for patients.

But what about AI’s effect on your revenue? As highlighted in International Hospital, whether you are an independent radiologist or a large imaging center, you have a business to run, and practices need revenue and cost saving strategies to survive. The good news is that using AI to screen patients for breast cancers doesn’t just benefit patients—research shows that it improves your practice’s bottom line.

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Topics: radiology, AI, breast cancer, mammogram, cmTriage, artificial intelligence, mammography, screening, CAD, AI-CAD, Machine Learning, breast cancer awareness, AI Mammogram, black history month, Breast imaging, BI-RADS Atlas 5th Edition, FFPI, Dense Breast, Ethnic disparities, BRCA, Ashkenazi Jewish, Asian Women, Brazilian women, African American Women

Artificial Intelligence (AI), Seeing Through Ethnic Disparities in Breast Imaging: An Interview with CureMetrix President Kevin Harris

Posted by Dawn Anderson, SVP Marketing on Feb 26, 2021 11:17:11 AM

 

Radiologists know that every patient is different. When reading a mammogram, it’s important to know a patient’s racial and ethnic background, health history, age, geographic location and breast density, just to name a few factors. Understanding how these differences may affect a patient’s diagnosis is crucial—and unfortunately, many radiologists do not have the data driven insights they need to accurately diagnose a diverse array of cases and find breast cancers earlier.

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Topics: radiology, AI, breast cancer, mammogram, cmTriage, artificial intelligence, mammography, screening, CAD, AI-CAD, Machine Learning, breast cancer awareness, AI Mammogram, black history month, Breast imaging, BI-RADS Atlas 5th Edition, FFPI, Dense Breast, Ethnic disparities, BRCA, Ashkenazi Jewish, Asian Women, Brazilian women, African American Women