Artificial Intelligence (AI) is currently being introduced into different domains, including
medicine. Specifically in radiation oncology, machine learning models allow automation and …

Cancer control and toxicity outcomes are the mainstay of evidence-based medicine in
radiation oncology. However, radiotherapy is an intricate therapy involving numerous …

The era of real‐time radiotherapy is upon us. Robotic and gimbaled linac tracking are
clinically established technologies with the clinical realization of couch tracking in …

PURPOSE: Failure mode and effects analysis (FMEA) is a widely used tool for prospectively
evaluating safety and reliability. We report our experiences in applying FMEA in the setting …

Online magnetic resonance-guided radiotherapy (oMRgRT) represents one of the most
innovative applications of current image-guided radiation therapy (IGRT). The revolutionary …

Purpose: Incident learning plays a key role in improving quality and safety in a wide range of
industries and medical disciplines. However, implementing an effective incident learning …

US10475537B2 - Method and system for automated quality assurance and automated treatment
planning in radiation therapy - Google Patents US10475537B2 - Method and system for …

This study examined the effect of service quality delivery on consumer's choice of fast foods
outlets. Cross-sectional survey research design was adopted. Primary data was collected …

In the past decade, electronic brachytherapy (EB) has emerged as an attractive modality for
the treatment of skin lesions and intraoperative partial breast irradiation, as well as finding …

Abstract Background and Purpose The clinical introduction of on-table adaptive
radiotherapy with Magnetic Resonance (MR)-guided linear accelerators (Linacs) yields new …