- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
8 Apps for Radiologists
Apps that can help you perform your best.
With patient volume continuing to grow throughout healthcare-and the steady stream of referrals coming your way-it can feel as if your work as a radiologist is never done. At one time, that meant you spent countless hours tethered to your workstation, trapped in a dark reading room.Today, however, with the advent of the smartphone and the development of ever-sophisticated apps, you can stay on top of your workload and provide a high level of patient care from virtually anywhere. Diagnostic Imaging reviewed eight apps designed to keep you connected with your patients, your referring providers, and your facilities. The overall goal is to keep work at your fingertips while helping you be as productive and integrated as possible.
Interventional Radiology Study Shows Low Breast Cancer Recurrence 16 Months After Cryoablation
March 29th 2024In a cohort of patients with invasive breast cancer and tumor sizes ranging between 0.3 to 9 cm, image-guided cryoablation was associated with a 10 percent recurrence rate at 16 months, according to research recently presented at the Society of Interventional Radiology (SIR) conference.
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.
FDA Clears Remote Scanning Support Platform for MRI, CT and PET/CT
March 25th 2024The multimodality system nCommand Lite reportedly facilitates real-time remote imaging guidance on scanning parameters and procedure assessments to licensed technologists for a variety of imaging modalities including CT and MRI.
AI Radiology ROI Calculator Study Projects 451 Percent ROI Over Five Years
March 18th 2024Incorporating an artificial intelligence (AI) platform into the radiology workflow at a stroke management-accredited hospital may lead to projected savings of 78 days in triage time and 41 days in reporting time for radiologists over a five-year period, according to new research.
