- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Fischer to show digital mammography work
Like competitors Bennett X-Ray and Lorad, Fischer of Denver isdeveloping a full-view digital mammography system. In its RSNAbooth, the company for the first time will display a working prototypeof its full-view digital system and will show patient images
Like competitors Bennett X-Ray and Lorad, Fischer of Denver isdeveloping a full-view digital mammography system. In its RSNAbooth, the company for the first time will display a working prototypeof its full-view digital system and will show patient images acquiredwith a prototype installed at Thomas Jefferson University Hospitalin Philadelphia.
Fischer's prototype has a design similar to a standard mammographyunit, but it features a detector array more closely resemblingthat used on CT scanners, according to Anthony DeCarolis, vicepresident of sales and marketing. The array enables cliniciansto perform 3-D imaging of the breast. The array has a matrix of1024 x 1024, which results in a high-resolution image that canimprove visualization of minute calcifications, DeCarolis said.
Fischer will also display an improved Mammotest prone stereotacticbiopsy table, as well as enhancements in its MammoVision CCD cameratechnology used with its digital spot-film device. Fischer isworking on a CCD camera design that can be moved from the Mammotesttable to an upright mammography system to make digitally guidedstereotactic exams more convenient and affordable.
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.
