Digital mammography<\/a> and it more futuristic counterpart – 3D image-based mammography gives higher clarity and enables earlier diagnosis, putting the patient on the road to recovery. Screening mammography also identifies any breast changes in women who have no signs\/side effects from the norm or display any breast variations. The objective of screening mammography is for early detection of cancer even before the clinical signs are visible.<\/span><\/p>\nThe new-age mammogram equipment is designed with a \u201cpatient first\u201d concept \u2013 to deliver a less painful, comfortable experience during screening, ably assisted by professional and caring healthcare staff.<\/span><\/p>\nAi-based digital Mammography \u2013 A significant step in early breast cancer detection<\/b><\/p>\n
While breast cancer screening with the help of mammography has improved the prognosis and contributed to a higher recovery rate due to early detection, sometimes the cancers have been missed on screening mammography and suspicions have turned out to be non-cancerous. In such a scenario, how can one be 100% sure? More importantly, how can radiologists and oncologists rely on a screening tool that will enable them to chalk out a diagnosis-treatment-recovery map for their patients?<\/span><\/p>\nThe answer can be found on an advanced, new-age mammogram tool based on artificial intelligence (Ai). Ai-based algorithms in mammography screening are accurate, provide the much-needed clarity and pave the way for a much earlier diagnosis. The Ai image-based screening can recognize abnormalities associated with cancer and differentiate them from non-cancerous findings. Ai provides not only better and earlier cancer detection but also presents improved efficiency for radiologists. Ai images also detect breast density, can provide reduced image file sizes for improving cancer detection.<\/span><\/p>\nAn Ai based mammography also provides clarity on the level of a woman\u2019s breast density. This is a crucial piece of information since dense breasts are also considered a risk factor, especially for women with a family history of breast cancer.<\/span><\/p>\nAn Ai based screening can also help reduce the review time of the breast images by identifying clinically relevant areas and showcasing the important features. Through a system of \u201csmart slicing\u201d and retaining critical image detail, the image volume is reduced by as much as two-thirds. This means saving radiologists and specialists one hour of screening results interpretation time on a daily basis! Moreover, since Ai collects all relevant data related to the patient (background, risk factors etc), it enables a more personalized screening plan for patients.<\/span><\/p>\n