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
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
Coronary heart disease is the leading cause of death for women in the United States. One in three women will die from heart disease alone, according to the American Heart Association—five times the rate of death from breast cancer.
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Machine Learning,
breast cancer awareness,
RSNA,
AI Mammogram
Artificial intelligence (AI) continues to make a major impact on medical imaging, particularly in computer-aided cancer detection. Multiple studies have demonstrated that using AI-based computer-aided detection (CAD) for mammography significantly improves radiologists’ ability to detect breast cancers[1] and reduces the number of false positives recalled for unnecessary screening[2].
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Topics:
radiology,
AI,
breast cancer,
mammogram,
cmTriage,
artificial intelligence,
mammography,
screening,
CAD,
AI-CAD,
Machine Learning,
breast cancer awareness,
RSNA,
AI Mammogram