- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
EDDA software takes aim at liver CT
Software to aid in the evaluation of hepatic lesions debuted June 7 at the Society for Imaging Informatics in Medicine meeting in Providence. The IQQA(R)-Liver Enterprise, developed by EDDA Technology, enables 4D analyses running on existing PACS workstations. The software handles the large volume of data obtained from contrast-enhanced multislice images of the liver. It automatically performs anatomic phase registration to visualize and cross-reference lesion locations and characteristics across different phases of enhancement. Segmentation and measurement tools address lesions, vascular structures, and lobes of the liver.
Software to aid in the evaluation of hepatic lesions debuted June 7 at the Society for Imaging Informatics in Medicine meeting in Providence. The IQQA(R)-Liver Enterprise, developed by EDDA Technology, enables 4D analyses running on existing PACS workstations. The software handles the large volume of data obtained from contrast-enhanced multislice images of the liver. It automatically performs anatomic phase registration to visualize and cross-reference lesion locations and characteristics across different phases of enhancement. Segmentation and measurement tools address lesions, vascular structures, and lobes of the liver.
Deep Learning Detection of Mammography Abnormalities: What a New Study Reveals
June 19th 2023In multiple mammography datasets with the original radiologist-detected abnormality removed, deep learning detection of breast cancer had an average area under the curve (AUC) of 87 percent and an accuracy rate of 83 percent, according to research presented at the recent Society for Imaging Informatics in Medicine (SIIM) conference.
Detecting Intracranial Hemorrhages: Can an Emerging AI Advance Have an Impact?
June 9th 2022A 3D whole brain convolutional neural network could provide enhanced sensitivity and specificity for diagnosing intracranial hemorrhages on computed tomography, according to new research presented at the Society for Imaging Informatics in Medicine (SIIM) conference in Kissimmee, Fla.
