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...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Wolters Kluwer Medknow Publications
2026-04-01
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| Saila: | Journal of Medical Physics |
| Gaiak: | |
| Sarrera elektronikoa: | https://journals.lww.com/10.4103/jmp.jmp_265_25 |
| Etiketak: |
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