Artificial Intelligence Applications in Urology : Reporting Standards to Achieve Fluency for Urologists
Copyright © 2021 Elsevier Inc. All rights reserved..
The growth and adoption of artificial intelligence has led to impressive results in urology. As artificial intelligence grows more ubiquitous, it is important to establish artificial intelligence literacy in the workforce. To this end, we present a narrative review of the literature of artificial intelligence and machine learning in urology and propose a checklist of reporting standards to improve readability and evaluate the current state of the literature. The listed article demonstrated heterogeneous reporting of methodologies and outcomes, limiting generalizability of research. We hope that this review serves as a foundation for future evaluation of medical research in artificial intelligence.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:49 |
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| Enthalten in: |
The Urologic clinics of North America - 49(2022), 1 vom: 14. Feb., Seite 65-117 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chen, Andrew B [VerfasserIn] |
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| Links: |
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| Themen: |
Artificial intelligence |
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| Anmerkungen: |
Date Completed 22.11.2021 Date Revised 02.02.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ucl.2021.07.009 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM333138139 |
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| 520 | |a Copyright © 2021 Elsevier Inc. All rights reserved. | ||
| 520 | |a The growth and adoption of artificial intelligence has led to impressive results in urology. As artificial intelligence grows more ubiquitous, it is important to establish artificial intelligence literacy in the workforce. To this end, we present a narrative review of the literature of artificial intelligence and machine learning in urology and propose a checklist of reporting standards to improve readability and evaluate the current state of the literature. The listed article demonstrated heterogeneous reporting of methodologies and outcomes, limiting generalizability of research. We hope that this review serves as a foundation for future evaluation of medical research in artificial intelligence | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Deep learning | |
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| 650 | 4 | |a Review | |
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| 700 | 1 | |a Rambhatla, Sirisha |e verfasserin |4 aut | |
| 700 | 1 | |a Cacciamani, Giovanni |e verfasserin |4 aut | |
| 700 | 1 | |a Dasgupta, Prokar |e verfasserin |4 aut | |
| 700 | 1 | |a Hung, Andrew J |e verfasserin |4 aut | |
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