- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Teleradiology: Does it Hurt or Help?
Is teleradiology good for radiology?
Talking about teleradiology doesn’t always conjure up the most pleasant thoughts, according to Andras Palko of the University of Albert Szentgyorgyi, Szeged, Hungary, at ECR 2015.Palko might not be drinking the teleradiology Kool-Aid, but he recognizes that it will continue to exist and it does have its benefits.“If you want to answer the question of whether [teleradiology] is a friend or a foe, it always comes down to where it is used and how it is applied,” Palko said.Palko argued five issues that arise with teleradiology. Since Diagnostic Imaging is all about equal opportunity, we took the issues to Benjamin W. Strong, MD, chief medical officer, vRad, to let him counter why these issues are actually opportunities.Find out what they said in the slideshow and then tell us in the comments section below what you think about teleradiology.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Current Perspectives on Radiology Workforce Issues and Potential Solutions
March 14th 2024Emphasizing the gravity of the ongoing workforce shortage in radiology, these authors recommend a change agenda focusing on expanded numbers of residency positions, reassessment of educational pathways, maintaining a strong presence in hospital settings and practice level initiatives to reduce administrative burden and achieve appropriate reimbursement beyond RVU measurements.
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
March 13th 2024The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.
