Purpose: Daily online adaptive radiotherapy (ART) improves dose metrics for gynecological cancer patients, but the on-treatment process is resource-intensive requiring longer appointments and additional time from the entire adaptive team. To optimize resource allocation, we propose a model to identify high-priority patients.
Methods: For 49 retrospective cervical and endometrial cancer patients, we calculated two initial plans: the treated standard-of-care (Initial) and a reduced margin initial plan (Initial) for adapting with the Ethos treatment planning system.
Background: Governing bodies of graduate medical education recommend conducting interviews virtually. Although most programs remain compliant with this guidance, it is unclear if this is broadly supported by interviewees. Virtual interview (VI), in-person interview (IPI), and virtual interview with an optional in-person visit (VI+) formats have unique strengths and weaknesses.
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