Feature | August 05, 2019 | Dave Fornell, Editor

Most Popular Radiology and Radiotherapy Topics in July 2019

Top recent content based on pageview analytics from ITN readers

The top piece of content in July was a video interview explaining how Princess Margaret Cancer Center is using machine learning to create automated treatment plans. This was a hot topic at the American Association of Physicists in Medicine (AAPM) 2019 meeting in July.

The top piece of content in July was a video interview explaining how Princess Margaret Cancer Center is using machine learning to create automated treatment plans. This was a hot topic at the American Association of Physicists in Medicine (AAPM) 2019 meeting in July. 

August 5, 2019 — Here is the list of the most popular content on the Imaging Technology New (ITN) magazine website from the month of July 2019. This is based on the website’s 162,367 pageviews for the month:

1. VIDEO: Use of Machine Learning to Automate Radiotherapy Treatment Planning — Interview with Leigh Conroy, Ph.D.

2. New Treatment Planning System Technologies

3. VIDEO: Use of a Fully Self-contained Brain Radiotherapy System — Interview with Stephen Sorensen, Ph.D., 

4. Low Doses of Radiation Promote Cancer-capable Cells

5. VIDEO: Creating a Low-cost Radiotherapy System for the Developing World — Interview with Paul Liu, Ph.D.

6. Liars in Radiology Beware! 

7. VIDEO: AI That Second Reads Radiology Reports and Deals With Incidental Findings — Interview with Nina Kottler, M.D.

8. Mobile Device App Viewing in Radiology

9. BLOG: Clinical Demands in Rural America Call for Advanced Imaging

10. Artificial Intelligence: The Key to Personalized Care

11. AI Models Predict Breast Cancer With Radiologist-level Accuracy

12. How Artificial Intelligence Might Impact Radiology

13. Ultrasound is Transforming Care Delivery for the Bariatric Patient

14. How Standardizing Protocols Can Save Time and Money

15. Augmented Reality Versus 3-D Printing for Radiology

16. Researchers Use Artificial Intelligence to Deliver Personalized Radiation Therapy

17. How To Manage Risk in the MR Suite

18. Bringing More Value to Imaging Departments With MRI

19. RaySearch Releases Version 9A of RayStation 

20. VIDEO: Implementation of Artificial Intelligence Tools in Radiology Practice — Interview with Lawrence Tanenbaum, M.D.

 

Related Most Popular Radiology Content:

Most Popular Radiology and Radiotherapy Technology Content in April 2019

Most Popular Radiology and Radiotherapy Technology Content in March 2019

Most Popular Radiology Technology Content on ITN in February 2019

Most Popular Imaging Technology Content in January 2019

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The interior of the German air force Airbus A-310 Medivac in Cologne, Germany, before its departure to Bergamo, Italy, March 28 to being ferrying COVID-19 patients to Germany for treatment to aid the Italians, whose healthcare system has been overwhelmed by the rapid spread of the coronavirus pandemic. Bundeswehr Photo by Kevin Schrief.

The interior of the German air force Airbus A-310 Medivac in Cologne, Germany, before its departure to Bergamo, Italy, March 28 to being ferrying COVID-19 patients to Germany for treatment to aid the Italians, whose healthcare system has been overwhelmed by the rapid spread of the coronavirus pandemic. Bundeswehr Photo by Kevin Schrief. Find more images from the COVID-19 pandemic.

 

Feature | Coronavirus (COVID-19) | April 08, 2020 | By Melinda Taschetta-Millane and Dave Fornell
In an effort to keep the imaging field updated on the latest information being released on coronavirus (COVID-19), th
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2  The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ve

 The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ventilators with the need to rapidly triage patients. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Mod=moderate). [Although not covered by this scenario and not shown in the figure, in the presence of significant resources constraints, there is no role for imaging of patients with mild features of COVID-19.] Image courtesy of the journal Radiology

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