PRODUCT
XAI CUVOD:
One-stop Integrated Sensor Intelligent Solution
XAI CUVOD is a health monitoring device that uses PPG (Photoplethysmography) sensors and BIA (Bioelectrical Impedance Analysis) sensors to measure, collect, and analyze heart rate, blood oxygen saturation, and body composition indicators, providing information to support health management. Measurement results can be viewed through the operating program via Bluetooth connectivity.
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PPG sensor-based heart rate measurement, collection, and analysis
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PPG sensor-based blood oxygen saturation measurement, collection, and analysis
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BIA sensor-based body composition indicator measurement, collection, and analysis
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Bluetooth connectivity with the operating program for viewing measurement results
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Skin temperature (palm temperature) ※ measurement and provision of information for health management
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Skin optical signal-based AGEs-related index ※ provision
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Lifestyle management support using measured and derived information
※ For general health management reference only. Not intended for the detection, diagnosis, or treatment of disease, or for medical decision-making.
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AUC
0.71
FUNDUS-CVD AI:
Arteriosclerosis Fundus AI Solution
FUNDUS-CVD AI is a medical artificial intelligence solution that uses Explainable AI (XAI) technology to diagnose the risk of atherosclerosis with a simple fundus imaging.
It is scheduled for release in June 2024, following certification by the Ministry of Food and Drug Safety (MFDS).
Diagnostic performance (validation of cohort performance for standard patients at Seoul National University Hospital Health Promotion Center):
- Carotid Atherosclerosis prediction AUC 0.71
- Cardiovascular mortality risk C-statistic 0.78
https://pubmed.ncbi.nlm.nih.gov/32222370/
This product is currently undergoing the medical device approval process with the Korean Ministry of Food and Drug Safety. Please note that some details may change in accordance with feedback from the regulatory authorities.
Retinal Disease AI Solution
Diagnostic Support Solution utilizing Explainable Medical Artificial Intelligence
With ophthalmic image detection and diagnostic reporting software, this solution automatically detects abnormal areas within ophthalmic images and provides indications of the presence of diseases, severity, or the likelihood of disease states. It incorporates adversarial explanation methodologies to offer pathological case examples, assisting healthcare professionals in making diagnostic decisions.
Diagnostic performance (validated on a cohort of standard patients from Seoul National University Hospital Health Promotion Center, AUC):
- Referable Glaucoma 0.92
- Diabetic Retinopathy 0.95
- Age-related Macular Degeneration 0.95
Laparoscopy AI
By applying optimized technology to artificial intelligence-only processors inside laparoscopic machines, it is possible to assist and train surgery through the infrastructure with real-time video long-term detection with artificial intelligence lightening technology.
