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- Title
Letter to the Editor RE: EL‐Nahas, Editorial Comment on: Predicting the Postoperative Outcome of Percutaneous Nephrolithotomy with Machine Learning System: Software Validation and Comparative Analysis with Guy's Stone Score and the CROES Nomogram by Aminsharifi et al. (J Endourol 2020;34(6):699–700; DOI: 10.1089/end.2020.0203)
- Authors
Aminsharifi, Alireza
- Abstract
Letter to the Editor RE: EL-Nahas, Editorial Comment on: Predicting the Postoperative Outcome of Percutaneous Nephrolithotomy with Machine Learning System: Software Validation and Comparative Analysis with Guy's Stone Score and the CROES Nomogram by Aminsharifi et al. (J Endourol 2020;34(6):699-700; DOI: 10.1089/end.2020.0203) The application of artificial intelligence (AI) in urology would likely be expanded. 5 EL-Nahas A. Editorial comment on: Predicting the postoperative outcome of percutaneous nephrolithotomy with machine learning system: software validation and comparative analysis with Guy's stone score and the CROES nomogram by Aminsharifi et al.
- Subjects
SOFTWARE validation; MACHINE learning; SYSTEMS software; NOMOGRAPHY (Mathematics); INSTRUCTIONAL systems; PERCUTANEOUS nephrolithotomy; PROSTATECTOMY
- Publication
Journal of Endourology, 2020, Vol 34, Issue 6, p700
- ISSN
0892-7790
- Publication type
Article
- DOI
10.1089/end.2020.29085.alm