- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Konica debuts one-touch CR
Konica Minolta Medical Imaging USA framed its ImagePilot CR system, introduced at the Society for Imaging Informatics in Medicine (SIIM) meeting in Seattle, as a new concept in digital radiography. ImagePilot CR, designed as an integrated digital imaging acquisition, review, and storage solution specifically for physician clinics, simplifies image acquisition to a single button push.
Konica Minolta Medical Imaging USA framed its ImagePilot CR system, introduced at the Society for Imaging Informatics in Medicine (SIIM) meeting in Seattle, as a new concept in digital radiography. ImagePilot CR, designed as an integrated digital imaging acquisition, review, and storage solution specifically for physician clinics, simplifies image acquisition to a single button push using an algorithm that sets bone as the benchmark against which all other tissue densities are calculated. AutoPilot thereby eliminates the need for users to select and define algorithms for each body part.
ImagePilot CR consists of an Imaging Station and a single-bay CR reader, Nano CR Reader. The Imaging Station can support additional client stations for viewing images in different parts of a physician's office. It has local archiving capabilities and can also send DICOM images for radiologists' diagnostic interpretation or to off-site storage.
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.
