Shaping Life-Saving Innovation in Breast Imaging with AI: How DANAI Technology is Transforming Breast Cancer Care
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Quality control in mammography: 6 practical tips
The aim of quality control in mammography is to maximize the benefits of exams while minimizing their potential risks. By law, mammogram screening programs must include quality control measures. In fact, ongoing internal quality controls provide a sound foundation for clinics to pass external reviews, such as audits and certifications, with flying colors. So, how can clinics maintain consistently high standards in mammography, and how can innovative technology such as artificial intelligence (AI) help? In this blog, we’ll provide a helpful overview with six practical tips on how to achieve this.
Early breast cancer detection: 8 steps to the perfect diagnostic mammogram
Mammograms are a core part of detecting breast cancer early, which can significantly improve a patient’s prognosis. But radiology centers that offer state-organized screening programs often face major challenges: correctly performing a diagnostic mammogram and generating a valid report requires profound specialty knowledge. At the same time, patients feel nervous and unsettled during breast exams, requiring a sensitive and empathetic bedside manner. The key here is to optimize and standardize workflows to ensure the highest quality medical care, and to provide women with a comfortable experience.
Mammography screening: Why better patient information is needed
Only about 65 percent of U.S. women over the age of 40 report having participated in mammography screenings in the past two years. Throughout the EU, 49.2 percent of all women between the ages of 50 and 69 participated in mammography screenings in 2016. However, very large country-specific differences can be observed. The highest participation rates of more than 80 percent are found in Denmark, Finland and Slovenia.
