Artificial intelligence will help doctors in Kazakhstan detect potential heart conditions at an early stage. Students at Astana IT University have developed a system called CardioScan. It analyses ECGs and helps identify signs of cardiovascular disease. The technology is based on an AI model trained on 33,000 images and scans. It processes examination results, as well as photographs of previous test results, and generates a report. However, the system is designed to provide a preliminary assessment of heart health and does not replace medical diagnosis. The team is currently improving the platform to increase the accuracy of its analysis and expand its capabilities by incorporating additional data.
«We have received support from the North Kazakhstan Cardiology Centre in developing this project under the guidance of one of its cardiac surgeons. Astana IT University is helping us connect with leading clinics to obtain as much data as possible to improve our model, enabling it to identify a wider range of diseases with greater accuracy,» noted Artem Pinigin, student, Astana IT University.
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