[Automated system for supporting medical decision-making in the treatment of patients with renal parenchyma neoplasms first experience of using the web-platform Sechenov.AI_nephro results of multicenter testing].

Aim: To evaluate the automated medical decision support system "Sechenov.AI_nephro" in the treatment of patients with renal parenchymal tumors.

Materials And Methods: The beta version of the web-platform "Sechenov.

[Texture analysis of 3D models for the prediction of the grade of clear cell renal cell carcinoma of the kidney (pilot study)].

Aim: To evaluate the possibilities of textural analysis of 3D models in differentiating the degree of nuclear dysplasia of the clear cell renal cell carcinoma (ccRCC).

Materials And Methods: The specimens after surgical treatment of 190 patients with ccRCC were analyzed. In all cases, nephron-sparing surgery (NSS) was performed through laparoscopic access.