Artificial Intelligence for Endoscopic Stone Surgery: What’s Next? An Overview from the European Association of Urology Section of Endourology
Carlotta Nedbal(Marche Polytechnic University), Frédéric Panthier(Sorbonne Université), Z. Khene(European Association of Urology), Giovanni Cacciamani(University of Southern California), Chady Ghnatios(European Association of Urology), Pieter De Backer(European Association of Urology), Bhaskar K. Somani(European Association of Urology), Tzevat Tefik(Istanbul University), Peter Kronenberg(Hospital Prof. Dr. Fernando Fonseca), O. Traxer(Centre National de la Recherche Scientifique), Benjamin W. Turney(European Association of Urology)
Cited by 8
Related Papers
The TRIPOD-LLM reporting guideline for studies using large language models
|Nature Medicine|2025|340
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
|Radiology Artificial Intelligence|2024|331
Trends in urological stone disease
|British Journal of Urology|2011|306
Advances in Lasers for the Treatment of Stones—a Systematic Review
|Current Urology Reports|2018|189