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.
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.
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.
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.
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.