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PACSGEAR unveils mammo digitizer
As the mammography community embraces digital mammography, newly converted sites must overcome the challenge of comparing new images with old. PACSGEAR introduced at RSNA 2008 its solution to the problem.
As the mammography community embraces digital mammography, newly converted sites must overcome the challenge of comparing new images with old. PACSGEAR introduced at RSNA 2008 its solution to the problem. Its PacsSCAN Film for Mammography digitizes plain-film mammograms and allows side-by-side comparison with images captured via full-field digital mammography systems. The digitized mammograms can be enhanced by using the company's Dynamic Contrast Algorithm (DCA), which gives the scanned images a digital look, according to PACSGEAR. The new product can be configured to display scanned images at the same resolution as their digital counterparts.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
Mammography-Based AI Abnormality Scoring May Improve Prediction of Invasive Upgrade of DCIS
April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.
Mammography Study: AI Improves Breast Cancer Detection and Reduces Reading Time with DBT
April 3rd 2024An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.
