Authors: Simon Brundage, Jiajin Fan, Ulrich Langner, Qiongge Li, Jian Liu, Wei Nie, Edwin Quashie, Xiaofeng Zhu
Affiliation: Brown University Health, Hofstra University Medical Physics Program, Inova Hospital, Inova Schar Cancer Institute, Indiana University School of Medicine, Department of Radiation Oncology
Abstract Preview: Purpose:
Managing departmental policies, clinical protocols, QA procedures, workflows, and troubleshooting documentation is critical in radiation oncology. A Microsoft-based wiki platform was devel...
Authors: Mingli Chen, Huan Amanda Liu, Weiguo Lu, Lin Ma
Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Mayo Clinic
Abstract Preview: Purpose: To reduce the back-and-forth in planning process between physicians and dosimetrists resulting from trade-off exploration, we proposed a novel deep learning framework called DeepTuning.
Me...
Authors: Paul B. Ravindran
Affiliation: Christian Institute of Health Sciences and Research
Abstract Preview: Purpose: In the past decades, Master's programs in Medical Physics in India have made significant strides, though many have faced challenges in accessing adequate resources for didactic lectures and p...
Authors: Chad Russell Ronish
Affiliation: Sanford Underground Research Facility
Abstract Preview: N/A...
Authors: Wilfred R Furtado, Gary Y. Ge, James Lee, Jie Zhang
Affiliation: University of Kentucky
Abstract Preview: Purpose: Despite advancements in Artificial Intelligence (AI) and its growing role in clinical practices like radiology, formal AI education remains limited in medical training. This gap contributes t...
Authors: Andrew R. Godley, Steve B. Jiang, Mu-Han Lin, Austen Matthew Maniscalco, Dan Nguyen, Yang Kyun Park
Affiliation: Department of Radiation Oncology, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center
Abstract Preview: Purpose:
Preparing DICOM datasets for research and education is challenging due to the complexity of the format and the necessity for patient-specific handling. Existing workflows demand substantia...
Authors: Fahad Alam, Douglas A Hoover, Raffi Karshafian, Andrew Loblaw, Lucas Mendez, Lucas Mendez, Gerard Morton, Humza Nusrat, Moti R. Paudel, Mackenzie Smith, Amandeep Tagger, Anton Varlukhin
Affiliation: Odette Cancer Center, Sunnybrook Health Sciences Center, Department of Anesthesiology, Temerty Medicine, University of Toronto, Department of Physics, Toronto Metropolitan University, Department of Radiation Oncology, Temerty Medicine, University of Toronto, Department of Radiation Oncology, London Health Sciences Centre
Abstract Preview: Purpose: Prostate brachytherapy utilization has declined, due in part to limitations seen with in-person training including time and space constraints in the operating room. Virtual reality addresses ...
Authors: Rebecca Lamoureux, Zahra (Zara) Razi, Zachary Whipps
Affiliation: University of New Mexico Hospital
Abstract Preview: Purpose: Patient mispositioning in CT imaging contributes to inconsistent radiation dose delivery and suboptimal image quality, impacting patient safety and diagnostic outcomes. This study evaluates a...