Kodak releases its Medical Imaging SystemEastman Kodak has begun shipments of its Kodak Distributed Medical Imaging system. The Rochester, NY-based company presented the system at last year’s RSNA show, and began receiving orders earlier
Eastman Kodak has begun shipments of its Kodak Distributed Medical Imaging system. The Rochester, NY-based company presented the system at last years RSNA show, and began receiving orders earlier this year (
PNN
1/99). It includes Kodak 1000 Distributed Medical Image Server, Kodak Distributed Medical Image Web viewers, three print spooler options, and two low-cost medical imagers, Kodak 3600 and 1200.
The vendor has also announced that it will be selling its laser imaging product line through selected x-ray products distributors, in addition to its own sales force and imaging modality manufacturers. The new network of x-ray distributors will market the Kodak DryView line of laser imagers and Kodak Ektascan 2180 laser printers.
In other Kodak news, subsidiary Cemax-Icon has appointed Ronald Heath as vice president of service. Heath joins Fremont, CA-based Cemax-Icon after more than 27 years of experience in the imaging market. He comes to the post from Acuson, where he was director of service, and will focus on boosting Cemax-Icons worldwide service and support team.
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.