The use of augmented and virtual reality in radiology was the subject of two articles and part of the HIMSS 2019 trends article in the top 25 list. Augmented reality is being looked at as a way to better train radiologists, allow surgeons to use medical imaging in true 3-D to better plan surgeries, and it can allow patients to better understand their conditions compared to use of traditional 2-D medical images. Photo by Dave Fornell.
January 3, 2020 — Here is the top 25 radiology articles on the Imaging Technology News (ITN) website from 2019 based on the analytics of its record 2.16 million pageviews.
1. Nurse Injured in MRI Accident at Swedish Hospital
2. Virtual Reality Boosts Revenues and Patient Understanding
3. FDA Clears GE's Deep Learning Image Reconstruction Engine
4. 5 Key Trends in New Ultrasound Technology
5. Artificial Intelligence Identifies Previously Unknown Features Associated with Cancer Recurrence
6. Philips Forte Gamma Camera Recalled for Possibility of Crushing Patient
8. SCCT Releases New Guideline for CT Use During TAVR
9. 6 Key Health Information Technology Trends at HIMSS 2019
10. Philips Launches Epiq Elite Ultrasound Series
11. MRI and Computer Modeling Reveals How Wrist Bones Move
12. MRI Safety and Technology Updates
13. GE Healthcare announces FDA approval of macrocyclic MRI contrast agent Clariscan
14. VIDEO: Editor’s Choice of the Most Innovative New Artificial Intelligence Technologies at RSNA 2018
15. Innovations in Radiotherapy and Radiology at Henry Ford Hospital
16. Augmented Reality is Taking Over Radiology Training
17. Screening MRI Detects BI-RADS 3 Breast Cancer in High-risk Patients
18. Fujifilm Contemplating Purchase of Hitachi Medical Systems
19. Carestream Health To Sell its Healthcare IT Business To Philips
20. FDA Clears United Imaging Healthcare uExplorer Total-Body Scanner
21. Artificial Intelligence Helps Detect Breast Cancer and Saves Time
22. Fujifilm Previews World's First Glass-free X-ray Detector at RSNA 2019
23. PODCAST: Is Artificial Intelligence The Doom of Radiology
24. Top 4 Technologies in Medical Imaging
25. How Artificial Intelligence Can Predict and Detect Stroke
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