Computational pathology in renal disease: a comprehensive perspective
This is an incremental review article for researchers and clinicians in nephrology and computational pathology, summarizing existing knowledge without new findings.
The paper provides a comprehensive overview of computational pathology applications in renal disease, analyzing image production, computer vision models, clinical features, data protection, and interpretability dimensions, but does not report specific results or numbers.
Computational pathology is a field that has complemented various subspecialties of diagnostic pathology over the last few years. In this article a brief analyzis the different applications in nephrology is developed. To begin, an overview of the different forms of image production is provided. To continue, the most frequent applications of computer vision models, the salient features of the different clinical applications, and the data protection considerations encountered are described. To finish the development, I delve into the interpretability of these applications, expanding in depth on the three dimensions of this area.