All conference submissions

Only 16% of therapeutic radiation incidents reported nationally to RO-ILS meet “excellent” RO-HAC narrative standards, limiting system learning. Capturing essential context is difficult for time-constrained clinicians, and critic...

Structured education in artificial intelligence (AI) has become increasingly important for medical physicists as AI tools are integrated into clinical practice. To address this need, the AAPM Ad Hoc Advisory Committee on AI Boot...

Artificial intelligence (AI) is increasingly integrated into clinical magnetic resonance imaging workflows, creating new opportunities and responsibilities for medical physicists. This program is designed to prepare medical physi...

The objective of this study was to assess whether an Artificial Intelligence (AI) model can automate the retrieval of Endovascular Aneurysm Repair (EVAR) related device codes used to identify specific stent-grafts from preoperati...

The MEVION S250-FIT introduces a novel fixed-gantry, upright patient positioning system, yet lacks commercial secondary dose calculation (SDC) tools necessary for clinical safety verification. While Monte Carlo (MC) simulations o...

This study investigated performance assessment metrics that, when applied to artificial intelligence (AI) outputs designed to identify the presence of pneumonia on chest radiographs, best align with the subjective clinical opinio...

Access to radiotherapy in low- and middle-income countries (LMICs) remains severely limited due to workforce shortages, infrastructure constraints, and workflow inefficiencies. Artificial intelligence (AI) has the potential to al...

MRI diffusion tensor imaging (DTI) fiber tracking is a valuable tool for visualizing white matter pathways but is typically time consuming and operator dependent. This work presents the development and validation of an automated...

To determine if Artificial Intelligence (AI) deep learning models can infer patient ethnicity from screening mammograms, and to identify the image features enabling this inference.

Adaptive radiotherapy (ART) decisions made during quality assurance CT (QACT) review are commonly documented in free‑text clinical notes. Automated classification of these rationales could enable large‑scale workflow and quality‑...

Traditionally, shielding design in PET facility relies on manually interpolating semi-logarithmic transmission curves from NCRP 147 and AAPM TG 108. This process is time-consuming and varies depending on the user. This study intr...

A Retrieval-Augmented Generation (RAG) Artificial Intelligence (AI) Agent was developed to accurately, reliably, and quickly address queries and prompts that pertain to regulatory and accreditation compliance, specific to the use...

Many Artificial intelligence (AI) applications have been developed recently to improve the quality and efficiency of radiotherapy processes. Despite the success of image-based applications such as autocontouring, AI models traine...

Artificial intelligence (AI) is increasingly embedded across radiation medicine, with applications in clinical decision support, workflow efficiency, personalization of care, and quality assurance. Despite rapid technical advance...

Prostate cancer male reproductive system malignancy and the most common male cancer treated by radiation. Given the high incidence rate and complexities of treatment planning, artificial intelligence (AI) solutions in medical phy...

To develop artificial intelligence (AI) methods with improved repeatability and reproducibility, a recognized need is for large, publicly available, and curated imaging data sets. Notable public repositories of DICOM images exist...

Clinical Trials Specialty Program

Histopathology is essential for disease diagnosis and treatment decision-making. Recent advances in artificial intelligence (AI) have enabled the development of pathology foundation models that learn rich visual representations f...