Reply to: machine learning in renal cell carcinoma research: promise and pitfalls of 'renal-izing' the potential of artificial intelligence
BJU Int
.
2023 Dec;132(6):713-714.
doi: 10.1111/bju.16116.
Epub 2023 Jul 28.
Authors
Astrid Boulenger de Hauteclocque
1
,
Loïc Ferrer
2
,
Gaëlle Margue
1
,
Guillaume Etchepare
2
,
Thierry Colin
2
,
Jean-Christophe Bernhard
1
Affiliations
1
Centre Hospitalier Universitaire de Bordeaux Groupe Hospitalier Pellegrin, Bordeaux, France.
2
SOPHiA GENETICS SAS, Bidart, France.
PMID:
37460190
DOI:
10.1111/bju.16116
No abstract available
Publication types
Letter
Comment
MeSH terms
Algorithms
Artificial Intelligence
Carcinoma, Renal Cell*
Humans
Kidney Neoplasms*
Machine Learning