After this engaging session, radiology participants who said they would plan on regularly reporting BAC as part of their mammogram readings jumped from 50% to 95%!

Watch now to find out why.

Topics: radiology, AI, breast cancer, mammogram, cmTriage, cmAssist, artificial intelligence, mammography, screening, CAD, AI-CAD, Machine Learning, breast cancer awareness, AI Mammogram, Breast imaging, BI-RADS Atlas 5th Edition, FFPI, Dense Breast, BRCA, breast density, CHD, heart disease, cmdensity, SBI, NCBC, ECR

Radiologists who use the advancement of artificial intelligence (AI) are better at making breast cancer diagnoses, and their practices can benefit financially from more patient referrals. These benefits from AI also have a broader ripple effect across the healthcare system—namely, the fact that using AI solutions for mammography reduces healthcare costs for both providers and patients.

Topics: radiology, AI, breast cancer, mammogram, cmTriage, cmAssist, artificial intelligence, mammography, screening, CAD, AI-CAD, Machine Learning, breast cancer awareness, AI Mammogram, Breast imaging, BI-RADS Atlas 5th Edition, FFPI, Dense Breast, BRCA, breast density, CHD, heart disease, cmdensity, SBI, NCBC, ECR

Artificial intelligence (AI) for mammography is being adopted more widely by radiologists each day, and much has been said about its benefit for patients. But not as much has been said about how AI improves a practice’s bottom line by streamlining the clinical workflow.

Topics: radiology, AI, breast cancer, mammogram, cmTriage, cmAssist, artificial intelligence, mammography, screening, CAD, AI-CAD, Machine Learning, breast cancer awareness, AI Mammogram, Breast imaging, BI-RADS Atlas 5th Edition, FFPI, Dense Breast, BRCA, breast density, CHD, heart disease, cmdensity, SBI, NCBC, ECR

Women have far better chances of survival if their breast cancer is diagnosed and treated early. Unfortunately, despite the best efforts of radiologists, nearly one third of breast cancer cases are missed in early mammogram screenings.

Topics: radiology, AI, breast cancer, mammogram, cmTriage, cmAssist, artificial intelligence, mammography, screening, CAD, AI-CAD, Machine Learning, breast cancer awareness, AI Mammogram, Breast imaging, BI-RADS Atlas 5th Edition, FFPI, Dense Breast, BRCA, breast density, CHD, heart disease, cmdensity, SBI, NCBC, ECR

 

Studies presented at major radiology conferences demonstrate the efficacy
of artificial intelligence solutions across key value points for radiology

Topics: radiology, AI, breast cancer, mammogram, cmTriage, cmAssist, artificial intelligence, mammography, screening, CAD, AI-CAD, Machine Learning, breast cancer awareness, AI Mammogram, Breast imaging, BI-RADS Atlas 5th Edition, FFPI, Dense Breast, BRCA, breast density, CHD, heart disease, cmdensity, SBI, NCBC, ECR

 

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

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

 

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.

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

 

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.

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