Optimization of clinical risk-factor interpretation and radiological findings with machine learning for PIRADS category 3 patients
Background: Due to the low cancer-detection rate in patients with PIRADS category 3 lesions, we created machine learning (ML) models to facilitate decision-making about whether to perform prostate biopsies or monitor clinical information without biopsy results. Methods: In our retrospective, single-...
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Format: | Article |
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2023
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Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/86179 |
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Institution: | Mahidol University |
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