Two novel deep-learning models to predict spontaneous ureteral calculi passage: Model development and validation
Abstract. Objective. The aim of this study was to develop and evaluate two deep-learning (DL) models for predicting spontaneous ureteral stone passage (SSP). Materials and methods. A total of 1217 patients with thin-layer computed tomography–confirmed ureteral stones in our hospital from January 201...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Health
2024-12-01
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| Series: | Current Urology |
| Online Access: | http://journals.lww.com/10.1097/CU9.0000000000000236 |
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