Partial nephrectomy is the preferred surgical technique for renal tumors, with feasibility being the limit. Selective techniques such as clamping renal artery branches directed towards the tumor region are crucial, and warm ischemia time is critical. Recently, the use of artificial intelligence (AI) software has allowed for the creation of highly accurate 3D models to improve preoperative planning.

The aim of this case report is to demonstrate the use of AI-based 3D reconstructions and highlight the additional benefits of preoperative planning. The patient had a renal tumor in the lower pole of the right kidney, and the Cella® software was used for 3D reconstruction and preoperative planning.

The 3D reconstruction allowed for selective clamping of the renal artery branch that was directed towards the tumor, establishing its anatomical relationship with the parenchyma, excretory system, and venous vascularization. After tumor excision, a significant hemorrhage occurred in the area previously identified as the site of contact with arterial vascularization.

The use of AI software allowed for better preoperative planning, with high-quality 3D reconstructions providing a better understanding of the anatomy and facilitating safe and efficient dissection of the pedicle. Additionally, the software's ability to predict major hemorrhagic points in the lesion bed is a novelty and improves primary hemostasis, reducing the risk of hemorrhage. The authors believe that the use of these software tools will become more widespread in the future, offering greater safety for both the patient and surgeon during preoperative planning.