Medical physics
Medical physics
Audio Summaries
Every issue of Medical physics moves the field forward, but reading every paper cover-to-cover isn't realistic. OSLR turns each article into a 3-minute audio summary so you can stay current while you commute, round, or work out.
Recent summaries
The latest articles summarized from Medical physics.
Diffusing alpha-emitters radiation therapy dosimetry: Geant4 multi-stage Monte Carlo modeling of sources
Jun 11, 2026
The authors aim to develop and validate a comprehensive 3D Monte Carlo model that integrates the entire decay chain of 224Ra, radionuclide diffusion, and particle energy-transfer physics to enhance dosimetry for Diffusing alpha-emitters Radiation Therapy (DaRT). Using the Geant4 toolkit, they successfully created a multi-stage Monte Carlo model that accurately simulates spatial and temporal dose distributions for various source configurations, demonstrating its potential for micro- and nanodosimetry as well as in-vivo detector analyses. The results indicate that the model's predictions align closely with existing analytical models, highlighting its effectiveness in complex dosimetry scenarios.
Physics-informed data augmentation to simulate low dose CT scans: Application to lung nodule detection
Jun 8, 2026
The authors investigate how to improve the performance of convolutional neural networks (CNNs) in detecting lung nodules on low-dose CT scans, which are often affected by noise characteristics from different imaging systems. They propose a Physics-Informed Data Augmentation (PIDA) method that simulates low-dose noise by leveraging data from higher-dose scans, ultimately enhancing the training dataset's variability. Their results demonstrate that incorporating PIDA significantly improves the CNN's detection performance, addressing the challenges posed by differences in training and testing data acquisition.
A constraint-normalized robustness index for HDR brachytherapy
Jun 8, 2026
The authors aim to develop a normalized robustness index for high-dose-rate brachytherapy that quantifies the sensitivity of treatment plans to geometric uncertainties, such as applicator displacement and catheter deflection. This index is designed to be dimensionless and clinically relevant, providing a single interpretable metric that reflects the plan's performance against dose-limit constraints. By incorporating various perturbation scenarios, the proposed framework enhances the evaluation of brachytherapy plans under uncertainty, complementing traditional dose volume histogram analyses.