E-Z-EM (Westbury, NY), Vital Images, and R2 Technology demonstrated during the RSNA meeting a prototype CAD system for virtual colonoscopy. The CAD-equipped Innerview GI processes reformatted CT data, automatically segmenting and defining regions of
E-Z-EM (Westbury, NY), Vital Images, and R2 Technology demonstrated during the RSNA meeting a prototype CAD system for virtual colonoscopy. The CAD-equipped Innerview GI processes reformatted CT data, automatically segmenting and defining regions of interest that may represent colon polyps. No formal agreement yet exists among the three companies for the development of such a CAD application. The prototype demonstrates only what might yet be accomplished, according to E-Z-EM.
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.