VisionLabs Kidney Tumor Detector

The main articles are:

• Cancer diagnosis
• Kidney cancer
• Artificial intelligence in radiology
• Artificial Intelligence in Medicine
• Medical Decision Support Systems (CDS)

2024: VisionLabs Kidney Tumour Detector Technology Introduction

VisionLabs On February 16, 2024, the company announced the launch of another area as part of a product strategy to expand its technology portfolio, which previously included human attribute analytics and marriage analytics in the field industries , etc. medical In the field, the first technology was in the recognition renal malignancies pictures. computed tomography

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VisionLabs

The detection solution malignant formations kidneys is based on pre-trained ones who neural networks automatically find and localize volumetric areas on the image that differ in density from the surrounding kidney tissues. This will increase the speed of initial processing of images and optimize the work of the doctor.

The technology works with abdominal CT scans taken without contrast amplification. Such studies are carried out in clinics in large volumes and are prescribed, including when the patient has no suspicion of the presence of neoplasms, therefore, doctors working with them may not have specialization in oncology. Analyzing the image using VisionLabs algorithms will help reduce the load on them and automatically highlight the areas that need to be paid attention to in order to make a final conclusion. The system does not make diagnoses on its own and is designed to help the doctor and support medical decision-making.

The technology is built into. comprehensive solution from VisionLabs The system accepts the input encrypted file in a standardized format DICOM and extracts from it medical a snapshot that needs to be processed. Then it segments the image into groups of pixels, each of which characterizes one semantic object, and detects malignant ones from them. formations After that, the solution gives an answer in the format necessary for processing the external system, where parameters such as the presence of pathology, its location, size, density and classification are indicated. Processing an image and generating a report on it takes an average of about 2-3 minutes.

The company plans to scale the use of the service, as well as create new technologies with recognition of pathologies liver and adrenal glands, as well as aneurysms aortas urolithiasis. In addition, VisionLabs intends to offer these AI solutions to medical centers in other regions Russia and in international markets.

"Our VisionLabs Kidney Tumour Detector technology will help enhance clinical diagnostic capabilities and enable more accurate and faster detection of kidney lesions, improving the quality of care. Medicine is one of the most promising areas of development of AI, so we decided to scale the VisionLabs experience to recognize medical images and detect pathologies. Clinics are conducting a large number of studies that require impressive temporary resources, our AI service will optimize these processes and save doctors' time, "said Dmitry Markov, CEO of VisionLabs.