Healthcare AI for Detecting Cardiac Diseases from Biomedical Signals and Images
Key Expertise
Experience
8+ years
Timezone
CET (UTC +1)
Skills
AI / ML
Languages
Databases
Infrastructure
Frameworks
Overview
The project involved scientific research and development of AI algorithms for detecting cardiovascular diseases from biomedical signals, medical images, and biobank data. The work covered end-to-end research design, experimentation, and algorithm development for healthcare applications, including cardiac image analysis and predictive models derived from physiological data.
Achievements
Developed disease recognition algorithms from scratch for cardiovascular healthcare use cases. Advanced research in computer vision for detection and segmentation of heart structures on 3D CT images. Supported preparation for clinical testing and FDA-related processes through scientific analysis and collaboration with research institutions.
Responsibilities
- Planned and conducted advanced medical research experiments using biomedical signals, imaging, and biobank data.
- Developed algorithms for cardiovascular disease detection and predictive analytics.
- Applied computer vision techniques to detect and segment heart structures on 3D CT images.
- Performed statistical analysis, signal processing, anomaly detection, and time series analysis on medical datasets.
- Worked with MR and CT images, EHR data, ECG, PPG, biomarkers, and lifestyle data.
- Produced scientific publications, reports, and conference materials.
- Collaborated with universities, scientific organizations, and clinical research teams.
Technologies Used
Key Expertise
Experience
8+ years
Timezone
CET (UTC +1)
Skills
AI / ML
Languages
Databases
Infrastructure
Frameworks
This project was delivered by
Oleksandra K.
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