- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
R2 signs licensing agreement
The University of Chicago is collaborating with R2 Technology on the development of a computer-aided detection mammography workstation, leveraging an investigational CAD reference library that contains a database of both malignant and benign lesions. The
The University of Chicago is collaborating with R2 Technology on the development of a computer-aided detection mammography workstation, leveraging an investigational CAD reference library that contains a database of both malignant and benign lesions. The reference library, which radiologists will be able to access for clinical comparison and relevancy, is being made available to R2 under an exclusive licensing agreement with the University of Chicago. This agreement is a natural extension of R2's existing collaboration with the university. The library may be the means for developing the next generation of CAD tools, according to Michael Klein, president and CEO of R2 Technology. The reference library workstation is designed to display and compare lesions the way most radiologists do in their own minds.
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.
