- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
FDA clears Scitex UniTone printer
Scitex Medical Systems last week announced that the Food and DrugAdministration has cleared its UniTone gray-scale ink-jet printer.Scitex, of Bedford, MA, debuted UniTone and the color VariToneprinters at the 1993 Radiological Society of North America
Scitex Medical Systems last week announced that the Food and DrugAdministration has cleared its UniTone gray-scale ink-jet printer.Scitex, of Bedford, MA, debuted UniTone and the color VariToneprinters at the 1993 Radiological Society of North America meeting(SCAN 1/19/94). The company showed both products as works-in-progressat the 1994 RSNA show.
Both UniTone and VariTone print on 12 x 18 sheets of glossypaper, with 3k x 5k resolution at 1800 dpi. The systems requireno chemical processing, due to their ink-jet technology, and bothsupport analog and digital interfaces, including the ACR-NEMA'sDICOM 3.0 standard.
Scitex plans to target UniTone at the growing second-printmarket for referring physicians. It has signed OEM deals withPicker International and Diasonics for U.S. sales.
FDA Approves Fluorescence Imaging System for Detecting Residual Breast Cancer
April 18th 2024The combination of the optical imaging agent Lumisight and the fluorescence imaging device Lumicell Direct Visualization System, collectively known as LumiSystem, reportedly offers 84 percent accuracy with real-time detection of residual breast cancer after lumpectomy procedures.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
April 17th 2024The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
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.
