top of page
원스톱 통합센서 지능형 솔루션
PRODUCT
XAI CARESYS 23:
Intelligent Integrated Biosensor Solution
XAI CARESYS 23: Intelligent Integrated Biosensor Solution is a telemedicine device that measures and collects vital biological signals as an integrated system for telemedicine, home chronic disease management, and industrial site staff health care.
Simultaneously inspect biological signals such as heart rate, blood oxygen saturation, skin temperature, body composition analysis, skin-fluorescence AGEs analysis, etc., and display the test results on the screen or on the user's smartphone application using Bluetooth.
설명가능 의료 AI 솔루션
.png)
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.
bottom of page