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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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The University of Texas MD Anderson Cancer Center
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Open-source software offers a transparent and cost-effective alternative to commercial, patient-specific quality assurance (PSQA) systems; however, clinical validation remains essential. This study aims to validate open-source Pylinac (PL) based gamma analysi...
The goal of this project is to standardize and automate the QA program of a multi-location radiation oncology practice. Our practice includes eleven linear accelerators, five CT scanners, and four HDR afterloaders, across four separate treatment centers.
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Annual linac beam scanning QA is time-intensive and often relies on manual data handling, spreadsheet analysis, and site-specific workflows. These steps can be tedious and inconsistent, even when the underlying measurements are solid. The goal of this work wa...
Artificial intelligence is increasingly being introduced into radiation therapy workflows, yet the path from procurement to clinical integration remains challenging. Formal guidance for clinical AI implementation is emerging but lags vendor introduction of th...