1. Artificial Intelligence Applications in Urology
- Author
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Giovanni Cacciamani, Andrew J. Hung, Andrew B. Chen, Prokar Dasgupta, Sidney Roberts, Sirisha Rambhatla, and Taseen F. Haque
- Subjects
medicine.medical_specialty ,business.industry ,Urology ,Deep learning ,media_common.quotation_subject ,Checklist ,Literacy ,Readability ,Fluency ,Workforce ,medicine ,Generalizability theory ,Artificial intelligence ,Applications of artificial intelligence ,business ,media_common - Abstract
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.
- Published
- 2022