Artículo de revisión

DOI: 10.1016/j.acuro.2020.10.012

Inteligencia artificial y simulación en urología

Artificial intelligence and simulation in urology

Download PDF

J. Gómez Rivasa,c,

Corresponding author

juangomezr@gmail.com

Autor para correspondencia.

, C. Toribio Vázquezb, C. Ballesteros Ruizb, M. Taratkinc,d, J.L. Marencoc,e, G.E. Cacciamanic,f, E. Checcuccic,g, Z. Okhunovc,h, D. Enikeevd, F. Espertoi, R. Grossmannc,j, B. Somanik, D. Venezianoc,l

a Departamento de Urología, Hospital Clínico San Carlos, Madrid, España

b Departamento de Urología, Hospital Universitario La Paz, Madrid, España

c Young Academic Urologist-Urotechnology Working Party (ESUT-YAU), European Association of Urology, Arnhem, Países Bajos

d Institute for Urology and Reproductive Health, Sechenov University, Moscú, Rusia

e Departamento de Urología, Instituto Valenciano de Oncología, Valencia, España

f Catherine and Joseph Aresty Department of Urology, USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, California, Estados Unidos

g Division of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Orbassano, Italia

h Department of Urology, University of California, Irvine, California, Estados Unidos

i Department of Urology, Campus Biomedico, University of Rome, Roma, Italia

j Eastern Maine Medical Center, Bangor, Maine, Estados Unidos

k Department of Urology, University Hospital Southhampton, Southampton, Reino Unido

l Department of Urology and Kidney Transplant, Grande Ospedale Metropolitano, Reggio Calabria, Italia

Ver más

See abstract