Results 141 to 150 of about 920,035 (311)
Explainable Artificial Intelligence for Medical Applications: A Review [PDF]
The continuous development of artificial intelligence (AI) theory has propelled this field to unprecedented heights, owing to the relentless efforts of scholars and researchers. In the medical realm, AI takes a pivotal role, leveraging robust machine learning (ML) algorithms.
arxiv
The burden of burnout: Understanding its prevalence and organizational drivers in medical physics
Abstract Background Burnout is a work‐related syndrome characterized by increased levels of emotional exhaustion (EE) and depersonalization (DP) along with decreased levels of personal achievement. In the healthcare setting, higher burnout levels have been associated with negative impacts on personnel, an increased risk of errors, and a decrease in the
Deborah Schofield+4 more
wiley +1 more source
Abstract Purpose To promote diversity in Science, Technology, Engineering, and Mathematics (STEM), an educational presentation and hands‐on session was organised to raise awareness of STEM career opportunities among high school girls to introduce the students to the field of medical physics. Materials and Methods The study involved 65 first‐year Senior
Afua A. Yorke+7 more
wiley +1 more source
Abstract Purpose/objective We propose a novel lattice deployment for spatially fractionated radiotherapy (SFRT) treatments. In this approach, a larger diameter high‐dose sphere is centrally placed in the bulky tumor mass and surrounded by smaller diameter high‐dose spheres.
Joshua Misa+2 more
wiley +1 more source
Radiotherapy medical physics in the Philippines: A contemporary overview
Abstract Purpose With cancer ranking as the third leading cause of death in the Philippines and a disparity in healthcare resources across regions, this research aimed to assess the state of radiotherapy medical physics in the country. Methodology The study utilized a comprehensive online survey with 94 structured questions answered by 19 clinics ...
John Paul C. Cabahug+4 more
wiley +1 more source
Lars E. Peterson+3 more
semanticscholar +1 more source
Localization accuracy of 6‐second CBCT for lung IGRT with various breathing patterns
Abstract Purpose The 6‐second cone beam computed tomography (CBCT) acquisition of the Ethos HyperSight (Varian Medical Systems, Inc. Palo Alto, CA, USA) on‐board imaging system offers benefits, but could be too fast to accurately capture an average target position in a free‐breathing lung cancer patient. This study aimed to ascertain whether a 6‐second
Jihye Koo+5 more
wiley +1 more source
T. V. Stewart+7 more
semanticscholar +1 more source
Abstract Purpose To create and conduct a comprehensive onsite end‐to‐end dosimetry audit to assess treatment accuracy of spine, lung, and soft tissue Stereotactic Body Radiotherapy (SBRT) across Australian and New Zealand (ANZ) radiotherapy centers. Methods The Australian Clinical Dosimetry Service (ACDS) anthropomorphic thorax phantom underwent a CT ...
Maddison Shaw+8 more
wiley +1 more source
MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education [PDF]
Medical education faces challenges in scalability, accessibility, and consistency, particularly in clinical skills training for physician-patient communication. Traditional simulation-based learning, while effective, is resource-intensive, difficult to schedule, and often highly variable in feedback quality. Through a collaboration between AI, learning
arxiv