- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
eHealthEngines launches Internet imaging service
eHealthEngines, a subsidiary of United American eHealth Technologies, has launched an online image management service called eHealthImages. eHealthImages enables radiologists, ophthalmologists, and other image-focused clinical service providers to access
eHealthEngines, a subsidiary of United American eHealth Technologies, has launched an online image management service called eHealthImages. eHealthImages enables radiologists, ophthalmologists, and other image-focused clinical service providers to access and maintain a common electronic medical record over the Internet without the need for additional hardware or software installation. The program is based on eHealthEngines' proprietary OpenMed suite of Java-based clinical data applications and can be delivered over the Internet to existing browsers. The company claims that more than 2000 physicians at more than 70 customer sites worldwide already benefit from its OpenMed technology. eHealthEngines' strategic partners include Sun Microsystems, Data General/EMC, and Cisco Systems.
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.
