Botkin.AI (Intellogic), a Russian startup that has developed an AI-powered radiology platform, has completed a 160 million rubles Series B round ($1.2 million at the current exchange rate). The money was injected by two medtech investors: investment holding Tashir Medica and RVC-backed Unicorn Capital Partners.
The funds which took part in the previous round (100 million rubles in June 2019) backed again the startups, reported Rusbase. These funds include RBC Capital, another RVC-backed fund; high-tech pharmaceutical company R-Pharm; Rosatom-backed Orbita, as well as Primer Capital and Expocapital.
“We strongly believe in the potential of artificial intelligence in medicine and especially in functional diagnostics. The Botkin.AI solution has excellent prospects for scaling in local and international markets,” said Tashir Medica Managing Partner Arsen Galstyan.
Botkin.AI’s approach consists in using mathematical patient representation models for diagnostics and disease risk assessment.
In addition to mathematical models for AI-powered medical image analysis, this technology includes a multimodal DICOM Viewer, AI-based tools to visualise the results of pathology analysis, image markup tools, as well as instruments allowing radiologists to use AI tools in a customised way.
Enhanced medical image analysis against Covid-19
According to Botkin.AI founder Sergey Sorokin, it only takes from several seconds to a few minutes for the patented Botkin.AI technology to analyze the images and diagnose lung cancer and pneumonia with extreme accuracy.
The company touts its chest X-Ray analysis for pneumonia as an asset for radiologists dealing with high numbers of Covid-19 patients. As the number of radiological studies increases sharply, radiologists face a bigger workload and stressful working conditions – which entails higher “risks of missing significant findings on diagnostic images.”
In such cases, Botkin.AI’s solution reduces the workload and the probability of medical errors. If deployed at a large scale, it may even contribute to “decreasing mortality, including for patients with malignant neoplasms.”
Earlier this year two Botkin.AI team members, Ivan Drokin and Elena Ericheva, won the “Best Paper” award in the computer vision track at the 9th International Conference on Analysis of Images, Social Networks, and Texts. The paper was about “Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans.”
