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:

Related Content

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

COVID-19 Clinician Update

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

News | Coronavirus (COVID-19) | April 07, 2020

RSNA Publishes Fleischner Society Statement on Chest Imaging and COVID-19

April 7, 2020 — A multinational consens...

The agreement is intended to integrate Qure.ai’s proprietary technology for chest x-ray screening and head CT triage in the Nanox.Cloud to improve imaging solutions and increase patient access to medical imaging world-wide

News | Artificial Intelligence | April 07, 2020

Nanox Partners With Qure.ai to Integrate AI-based Algorithms for Medical Imaging

April 7, 2020 — -...

#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 Professor David Sebag-Montefiore (Image courtesy of the University of Leeds)

Professor David Sebag-Montefiore (Image courtesy of the University of Leeds)

News | Radiation Therapy | April 07, 2020

Shorter Radiotherapy Treatment Recommended for Bowel Cancer Patients During COVID-19

April 7, 2020 — An intern...

A recent study earlier this year in the journal Nature, which included researchers from Google Health London, demonstrated that artificial intelligence (AI) technology outperformed radiologists in diagnosing breast cancer on mammograms

Feature | Breast Imaging | April 06, 2020 | By Samir Parikh

Leveraging Artificial Intelligence to Enhance the Radiologist and Patient Experience

A recent study earlier this year in the journal Nature,

Eclipse v16 has received CE mark and is 510(k) pending

News | Proton Therapy | April 06, 2020

Varian Brings Machine Learning to Proton Treatment Planning

April 6, 2020 — Driven by its Intelligent Cancer Care approach in developing new solutions that use advanced technolo

#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 United Imaging, a global leader in advanced medical imaging and radiotherapy equipment, followed a recent March announcement about transportable computed tomography (CT)s with more details on a second collaboration.

News | Computed Tomography (CT) | April 06, 2020

United Imaging Collaborates on Additional Transportable CTs for the U.S. for Pandemic

April 6, 2020 — United Imaging, a global leader in adva

Videos | Coronavirus (COVID-19) | April 04, 2020

VIDEO: Best Practices for Nuclear Cardiology During the COVID-19 Pandemic

Hicham Skali, M.D.

#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 U.S. Surgeon General Jerome Adams, M.D., M.Ph demonstrates how the general public can make their own face masks for non-clinical use.

U.S. Surgeon General Jerome Adams, M.D., M.Ph. demonstrates how the general public can make their own face masks for non-clinical use.

News | Coronavirus (COVID-19) | April 04, 2020 | By Melinda Taschetta-Millane

CDC Officially Recommends Public to Wear Face Masks

April 4, 2020 — The Centers for Disease Control and Prevention (CDC)

Varian received FDA clearance for its Ethos therapy in February 2020. It is an adaptive intelligence solution that uses onboard AI in the treatment system to take the cone beam CT imaging on the system, compare it to the treatment plan and deliver an entire adaptive treatment plan in a typical 15-minute treatment time slot, from patient setup through treatment delivery.

Varian received FDA clearance for its Ethos therapy in February 2020, shown here displayed for the first time at ASTRO 2019. It is an adaptive intelligence solution that uses onboard AI in the treatment system to take the cone beam CT imaging on the system, compare it to the treatment plan and deliver an entire adaptive treatment plan in a typical 15-minute treatment time slot, from patient setup through treatment delivery.

Feature | Treatment Planning | April 03, 2020 | Dave Fornell, Editor

Artificial Intelligence Greatly Speeds Radiation Therapy Treatment Planning

The traditional treatment planning process takes days to create an optimized radiation therapy delivery plan, but new