- AI
- Molecular Imaging
- CT
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- Ultrasound
- MRI
- Facility Management
- Mammography
Siemens wins Scripps supply contract
Siemens Medical Systems has signed a 10-year agreement potentially worth $10 million with Scripps, a regional healthcare system in San Diego, CA. The contract stipulates that Siemens will provide Scripps with consulting services to improve its work
Siemens Medical Systems has signed a 10-year agreement potentially worth $10 million with Scripps, a regional healthcare system in San Diego, CA. The contract stipulates that Siemens will provide Scripps with consulting services to improve its work processes, along with the vendors, imaging cardiology, and oncology care equipment.
As part of the contract, Siemens will suggest ways Scripps can improve its operating and program processes and will work with Scripps to reduce costs. Siemens will serve as Scripps preferred supplier of imaging equipment, cardiac care and oncology treatment systems, patient monitoring units, data networking and communications systems, and physical plant equipment.
MRI-Based AI Radiomics Model Offers 'Robust' Prediction of Perineural Invasion in Prostate Cancer
July 26th 2024A model that combines MRI-based deep learning radiomics and clinical factors demonstrated an 84.8 percent ROC AUC and a 92.6 percent precision-recall AUC for predicting perineural invasion in prostate cancer cases.
Breast MRI Study Examines Common Factors with False Negatives and False Positives
July 24th 2024The absence of ipsilateral breast hypervascularity is three times more likely to be associated with false-negative findings on breast MRI and non-mass enhancement lesions have a 4.5-fold likelihood of being linked to false-positive results, according to new research.
Can Polyenergetic Reconstruction Help Resolve Streak Artifacts in Photon Counting CT?
July 22nd 2024New research looking at photon-counting computed tomography (PCCT) demonstrated significantly reduced variation and tracheal air density attenuation with polyenergetic reconstruction in contrast to monoenergetic reconstruction on chest CT.
