A web service for detecting kidney diseases will be registered in Russia

Specialists from the Center for Neural Network Technologies at the Sechenov University Institute of Urology and Reproductive Health have developed a web-based medical decision support platform Sechenov.AI_nephro, which helps to accurately diagnose patients with kidney diseases. The platform has successfully passed technical tests before being registered by Roszdravnadzor, the university said.

Kidneys started: new method will reduce the risk of complications after stone removal

The developed methodology will reduce the time patients spend in the hospital

Since 2008, the Institute of Urology has started using 3D modeling of the pathological process in patients with tumors of the parenchyma (tissue of the internal environment) of the kidney. In manual mode, when a team of three specialists (a urologist, a radiologist, and an IT specialist) was working, the construction process took up to a day.

Now, thanks to the development of a new web resource and the automation of the image acquisition system, it takes only a few minutes. The doctor needs to download the CT scan of the patient and highlight the area of interest in the interface — tumors in the kidney area.

"Before getting to the server, this zone is cut out and sent for processing. And already on the server side, the neural network identifies the necessary anatomical structures — arteries, veins, ureters, kidney parenchyma, tumor, cysts — and creates an additional file with these "masks". After that, it is returned to the user and 3D construction is already underway, which can be worked with," Ivan Chernenky, a leading software engineer at the university's Center for Neural Network Technologies, told Izvestia.

According to the specialist, using a 3D model, it is possible to estimate the depth of the tumor's immersion in the kidney, perform virtual resection with different planes, and obtain other important information for the doctor.

Read more in the exclusive Izvestia article:

In the interface area: the digital platform will detect malignant kidney tumors