Recent advances in artificial intelligence (AI), such as generative AI and large language models (LLMs) have generated significant excitement about the potential of AI to revolutionize our lives, work, and interaction with technology. This article explores the practical applications of LLMs, particularly ChatGPT, in the field of radiation oncology. We offer a guide on how radiation oncologists can interact with LLMs like ChatGPT in their routine clinical and administrative tasks, highlighting potential use cases of the present and future.

This article describes a community-based hospital’s policy for the management of patients with medical implanted electronic devices other than pacemakers or implanted cardiac defibrillators (ICDs). The policy may be adapted as needed for other radiation oncology groups requiring a practical solution for managing the care of patients with implanted devices, noting the need for changes for departments offering proton, neutron, heavy ion, or magnetic resonance–guided linear accelerator (MR-linac) treatment modalities.

: The physics curriculum is a source of anxiety both for medical students considering radiation oncology (RO) as a possible career and for current residents facing the physics boards. To improve the orientation process for residents and medical students, we created a physics boot camp utilizing clinically relevant patient vignettes to teach physics fundamentals.

The goal of this study was to develop and assess the effectiveness of an affordable smartphone-based virtual reality (VR) patient education platform with 360-degree videos produced depicting a first-person patient perspective during the radiation therapy (RT) care path to reduce patient anxiety.

Endometrial cancer represents the fourth most commonly diagnosed cancer in women in the United States and the sixth leading cause of cancer-related death.1 Despite the recent advances in the management of recurrent and metastatic endometrial cancer, mortality has increased by 1.7% over the past 10 years,2 largely attributable to an increasing overall incidence of endometrial cancer.1 The management of locally advanced endometrial cancer (LAEC) involves a multimodal approach including surgical resection followed by risk-adapted adjuvant therapy.

NCT03253744 was a phase 1 trial to identify the maximum tolerated dose (MTD) of image-guided, focal, salvage stereotactic body radiation therapy (SBRT) for patients with locally radiorecurrent prostate cancer. Additional objectives included biochemical control and imaging response.

Sulfur hexafluoride (SF6) is a widely used insulating gas in medical linear accelerators (LINACs) due to its high dielectric strength, heat transfer capabilities, and chemical stability. However, its long lifespan and high Global Warming Potential (GWP) make it a significant contributor to the environmental impact of radiation oncology. SF6 has an atmospheric lifespan of 3200 years and a GWP 23,000 times that of carbon dioxide. The amount of SF6 that can be emitted through leakage from machines is also concerning.

Stereotactic body radiation therapy (SBRT) has been utilized with high effectiveness in early stage NSCLC but has not been studied extensively in locally advanced NSCLC. We conducted a phase II study delivering SBRT to the primary tumor followed by conventionally fractionated chemoradiation to the involved lymph nodes for patients with node positive locally advanced NSCLC. This manuscript serves as both a guide to planning techniques utilized on this trial and the subsequent phase III study, NRG Oncology LU-008, and to report patient dosimetry and toxicity results.