This blog post is adapted from “Is AI Reshaping the Medical Dosimetrist’s Role,” which was published in Radiation Oncology News for Administrators, Vol. 32 No. 2.
A 2020 Nature article says, “AI could have particularly transformative applications in radiation oncology given the multifaceted and highly technical nature of this field of medicine with a heavy reliance on digital data processing and computer software. . . . AI has the potential to improve the accuracy, precision, efficiency and overall quality of radiation therapy for patients with cancer.”1 Two medical dosimetrists share how they’re using AI and its implications for their profession and patient care.
It is a well-established fact that automation and standardization are two key pillars in not only advancing the standard of patient care, but also for driving practice improvement across the clinic. MIM Software has hard data, not only from institutions that have conducted their own internal analysis, but also from peer-reviewed publications, that show significant improvements, both win workflow and quality of treatment, as a direct impact of automating various cogs within the patient care path.
Content in the blog post is adapted from an article published in Radiation Oncology News for Administrators Vol 31 No 4.
Genomic-adjusted radiation dose (GARD) shows great promise in helping clinicians tailor radiotherapy treatments for patients. SROA first published an article about GARD in 2017. A new study about GARD published in The Lancet Oncology “validates the association between GARD and radiation therapy outcome in a large cohort of patients, across seven different cancer types.” These cancers include cancers of the breast, head and neck, endometrium, melanoma, glioma, pancreas and lung (NSCLC).
Teri Bedard, Executive Director, Client & Corporate Resources with Revenue Cycle Coding Strategies, discusses new technologies. This content originally appeared in Radiation Oncology News for Administrators, Vol. 31 No. 3.
Given the growing number of survivors––22.1 million survivors of cancer by 2030 according to American Cancer Society estimates––specific services will be needed to deal with long-term side effects and tools to help them maintain their quality of life.
In October 2020, the Mayo Clinic and Google Health announced a joint initiative that focuses on applying Artificial Intelligence (AI) to radiation therapy planning and medical imaging. Experts from the Mayo Clinic and Google Health will apply AI to medical imaging.
It’s been said that cancer impacts us all, either directly or indirectly through someone we know. Until earlier this year, I mainly knew of cancer indirectly. My uncle was diagnosed with Stage 4 lung cancer just as the pandemic hit.
Sam Mazin is the founder and CTO of RefleXion Medical. Mazin joined SROA Soundboard--a podcast for SROA to discuss biology guided radiotherapy (BgRT) technology for radiation oncology. Catch up on the key highlights from Mazin's podcast.
November is Pancreatic Cancer Awareness Month. In 2020, more than 57,000 Americans will be diagnosed with pancreatic cancer. Although this is considered a rare cancer, it is the third leading cause of cancer-related deaths.
On Friday, October 30, Mark Coticchia, vice president for Innovation at Baptist Health South Florida, presented on driving a culture of innovation. He described innovation as the intentional process of developing a new product or service to address a need held by many. It’s a structured form of problem solving that is need-based and multidisciplinary.