The traditional treatment planning process takes days to create an optimized radiation therapy delivery plan, but new artificial intelligence (AI) technologies are helping speed this process. In some cases autonomous AI-generated plans can be generated in a couple minutes.
AAPM
This page includes news coverage of the American Association of Physicists in Medicine (AAPM) annual meeting and related medical physics content. The AAPM is a scientific and professional organization, founded in 1958, with more than 8,000 scientists whose clinical practice is dedicated to ensuring accuracy, safety and quality in the use of radiation in medical procedures, including medical imaging and radiation therapy.
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Experts in the use of artificial intelligence (AI) in radiology, from many of the world’s leading radiology, medical physics and imaging informatics groups, recently published an aspirational statement to guide the development of AI in radiology. The multi-society statement focuses on three...
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There were several trends and new technologies in radiation oncology discussed at the American Association of Physicists in Medicine (AAPM) 2019 meeting in July.
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A new area for proton therapy in treatment of eye cancer, because of the ability to control the tissue penetration and eliminate full beam lines through a multitude of critical structures in the head.
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This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and auto-contours them as the first step in creating radiation oncology treatment plans. This...
Rising concerns over radiation overexposure teamed with a growing focus on improving the quality of patient care are two key drivers of today’s radiation dose management market.
Feature | Radiation Dose Management | April 02, 2020 | By Melinda Taschetta-Millane
Rising concerns over...
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 | March 19, 2020 | Dave Fornell, Editor
The traditional treatment planning process takes days to create an optimized radiation therapy delivery plan, but new...
News | Artificial Intelligence | October 22, 2019
October 22, 2019 – Experts in the use of artificial...
Gallery | AAPM | August 22, 2019 | Dave Fornell, Editor
This is a photo essay of the new radiation oncology and medical physics technologies on the expo floor and discussed...
The Zap-X stereotactic radiosurgery (SRS) brain radiotherapy system is completely self-shielded, eliminating the need for a concrete vault. The goal of the system is to expand SRS brain therapy by making it easier to access and less expensive by eliminating the large expense of custom-built vaults to house the system.
Feature | AAPM | August 21, 2019 | Dave Fornell, Editor
There were several trends and new technologies in radiation oncology discussed at the...
Videos | Treatment Planning | August 21, 2019
This is an example of the Mirada DLCExpert deep learning software that automatically identifies organs, segments and...
Videos | Patient Positioning Radiation Therapy | August 21, 2019
This is a quick demonstration of the Varian Identify image-guided patient positioning system at the...
Videos | Computed Tomography (CT) | August 21, 2019
This is a quick walk around of a mobile 32-slice...
News | Proton Therapy | August 06, 2019
August 6, 2019 — IBA (Ion Beam Applications S.A.) recently signed a contract and received the first payment for a...
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.
Feature | August 05, 2019 | Dave Fornell, Editor
August 5, 2019 — Here is the list of the most popular content on the Imaging Technology New (ITN) magazine website from...
News | Radiation Therapy | August 02, 2019
August 2, 2019 — Varian showcased systems and software from its cancer care portfolio, including the Identify Guidance...
Videos | Computed Tomography (CT) | July 30, 2019
An example of FFR-CT imaging from Beaumont Hospital in Royal Oak, Mich. The left image shows a 3D generated image of the coronary tree from a CT scan evaluated with computational fluid dynamics to determine the FFR numbers. It shows a severe restriction of the left main artery which requires a stent to revacularize. The image on the right is a comparison with the invasive angiogram from the cath lab prior to stenting.
Feature | Cardiac Imaging | July 24, 2019 | Greg Freiherr
One of the big trends in cardiac computed tomography (CT) imaging has been the introduction of noninvasive...
Videos | AAPM | July 23, 2019
