- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
Poll of the Week: Do You Use a Tablet?
Tablet use among physicians has nearly doubled since 2011, with 62 percent of doctors using them on the job. Do you?
Tablet use among physicians has nearly doubled since 2011, with 62 percent of doctors using them on the job, according to a recent study from healthcare market research firm Manhattan Research.
Half of the tablet-owning doctors have used the device at the point of the care, and the iPad is the dominant platform, the study found.
Overall, physicians’ device and digital media adoption has grown faster than anticipated, according to the study that surveyed 3,015 U.S. doctors across more than 25 specialties.
There are dozens of medical imaging iPad apps, including Mobile MIM, the first diagnostic radiology app approved by the FDA for viewing images and making medical diagnoses based on CT, MRI and nuclear medicine technology.
Have you joined the tablet craze?
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.
