- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
PDAs used in primary reads hold their own
Danish researchers have confirmed the possibility of interpreting scans from personal digital assistants. Their study comprised 40 orthopedic studies, including CT, MR, computed radiography, and digital radiography.
Danish researchers have confirmed the possibility of interpreting scans from personal digital assistants. Their study comprised 40 orthopedic studies, including CT, MR, computed radiography, and digital radiography.
The investigators interpreted images from a wireless PDA and a workstation. A span of one to two weeks separated each reading. Agreement occurred in 90% of the cases, and the researchers caught two instances of soft-tissue calcification on the PDA that were not seen on the workstation.
Many types of studies do not work well on PDAs because of the necessity to scroll and pan with the small devices, they said, but these analytic tools can be helpful in interpreting orthopedic studies.
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.
