Optimizing Patient-specific Quality Assurance Workload with Neural Network Analysis of Log Files and Complexity Indices
Purpose: The purpose of the study was to optimize the Patient-specific Quality Assurance (PSQA) process using artificial neural networks (ANNs), log file data and complexity indices (CIs) to identify treatment plans susceptible to deliverability issues. Methods: Log file accuracy was validated. CIs...
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| Glavni autori: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Wolters Kluwer Medknow Publications
2026-04-01
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| Serija: | Journal of Medical Physics |
| Teme: | |
| Online pristup: | https://journals.lww.com/10.4103/jmp.jmp_265_25 |
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