CELSUS.AI is a medical diagnostics platform utilizing artificial intelligence to analyze mammograms, chest X-rays, and CT scans for the detection of various pathologies, including lung cancer and brain hemorrhages. The platform enhances diagnostic accuracy, reduces human error, and increases early cancer detection rates, ultimately improving the efficiency of radiology departments.
Funding
$2.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Radiology departments face challenges in maintaining consistent diagnostic accuracy across diverse imaging modalities and in minimizing human error during image interpretation. The increasing volume of medical images, coupled with a shortage of qualified personnel, can lead to delays in diagnosis and increased costs.
Solution
CELSUS.AI offers an AI-powered platform designed to analyze medical images, including mammograms, chest X-rays, and CT scans, to assist in the detection of various pathologies. The platform aims to improve the quality and standardization of diagnostic radiology by highlighting key indicators of diseases such as lung cancer, brain hemorrhages, and COVID-19. By automating the initial screening process, CELSUS.AI helps reduce the risk of human error, accelerates diagnostic workflows, and enables earlier detection of critical conditions. The system integrates with existing Picture Archiving and Communication Systems (PACS) and provides multiple access options, including web, desktop, and equipment integration.
Target Audience
The primary target audience includes radiologists, radiology departments in hospitals and clinics, and healthcare systems seeking to improve diagnostic accuracy, reduce errors, and increase early cancer detection rates.
Features
- AI-driven analysis of mammograms for the detection of malignant and benign formations, calcifications, and other abnormalities, with >95% accuracy.
- Automated detection of pathological changes in fluorography and chest X-ray images, aligned with digital codes for description of fluorography, with 93% accuracy.
- Analysis of chest CT scans for signs of COVID-19 and lung cancer, including lesion extent and localization.
- AI-service for analyzing brain CT scans for signs of brain hemorrhages.
- Integration capabilities with PACS, RIS, and MIS systems via API.
- Multiple access options: web browser, desktop application, and integration with radiographic equipment.
- Customizable service development according to client-specific tasks.