- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Philips upgrades 'big bore' CT at ASTRO
Enhancements that adjust for organ motion and better localize lesions debuted today for Philips’ Brilliance CT Big Bore at the American Society for Radiation Oncology (ASTRO) in Chicago.
Enhancements that adjust for organ motion and better localize lesions debuted today for Philips’ Brilliance CT Big Bore at the American Society for Radiation Oncology (ASTRO) in Chicago. Philips Healthcare framed the upgrades as speeding up diagnosis and improving the patient treatment planning, when scans are done on the company’s 85 cm large bore CT. Upgrades to the Brilliance CT Big Bore include RapidView 4-D Reconstruction System, which accelerates data processing; Amplitude Binning Algorithm, which adjusts for movement caused by respiration; Metal Artifact Reduction, designed to improve images resolution of sites near high density metal objects; “Sim Enhancement” Blocking Technology, which allows clinicians to mark an area for treatment and initiate treatment; and Tumor L.O.C. (Localization On Console), software that localizes and marks tumors in a simulation run at the scanner console.
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.
MRI-Based AI Model Shows Promise in Predicting Lymph Node Metastasis with Breast Cancer
April 15th 2024For the prediction of axillary lymph node metastasis in patients with breast cancer, an MRI-based, 4D convolutional neural network model demonstrated an AUC of 87 percent and sensitivity of 89 percent, according to new research.
