1. AIXA Intelligent Medical Imaging Analysis
2. AIVITA AMG

Smart Hospital
Harmonizing the power of ICT, we integrate automation, mobility, and hardware/software solutions with a focus on smart hospitals. Leveraging IoT/IoMT, we enhance the efficiency of healthcare professionals, prevent errors, contribute to hosp

Remote Video Medical Consultation: Through real-time communication platforms such as LINE, Teams, and Messenger, users can receive continuous sleep care support anytime, eliminating the inconvenience of traveling, waiting for appointments, and arranging sleep disorder consultations.
Global Sleep Medicine Cloud Platform – Data-Driven Scalable Sleep Labs (DSL): An AI-powered healthcare platform that integrates sleep medicine with ICT technologies. Based on years of clinical experience and Asia’s largest sleep database, the platform has developed proprietary AI algorithms to provide users with accurate sleep analysis, chronic disease management analysis, and disease risk prediction services. By establishing a big data-driven business model, DSL delivers professional and convenient sleep disorder diagnosis and care services, enabling personalized precision medicine and chronic disease management. The platform also provides clinically validated health data models, privacy-preserving computing solutions, and online sleep healthcare management services for healthcare institutions and members.

1. "CardioRenix Matrix AI Smart Care Operating System": Creating the world's first clinical biochemical signal infrastructure layer integrating "decentralized real-time diagnosis, continuous AI risk prediction, and health insurance payment mechanisms," transforming medical records into digital smart assets.
2. "Matrix929™ Real-Time Microfluidic Analyzer": The exclusive patented N-DNA™ technology successfully overcomes the "Debye Screening Wall" that has blocked the industry for 30 years. With just a single drop of whole blood at your fingertip, you can generate central laboratory-level data within 15 minutes with sensitivity reaching fM (fimolar) levels, surpassing traditional optical inspection by 1,000 times. A single cartridge can quantitatively detect eight key CKM biomarkers including hs-cTnI, NT-proBNP, and HbA1c, quantifying micro-deterioration trends in organs.
3. "EvoRisk™ AI Prediction Engine and L1 Growth Memory Layer": This is the system's digital brain. The L1 growth memory layer uses MySQL (factual memory: biochemical indicators and prescriptions), Redis (state memory: real-time follow-up progress), and Graphiti (contextual memory: causal relationship maps of complaints and indicators) to transform static medical records into dynamic medical memory. The system self-optimizes through continuous learning mechanisms, predicting major cardiovascular adverse events (MACE) within 12 months with an accuracy of up to 0.90 AUC, advancing the intervention window by 5-10 years.
4. "Dr. AI Health Companion Assistant App": Integrates localized semantic mapping (TW-RAG), automatically de-hallucinating elderly Taiwanese slang names (such as "kidney guai"), and accurately maps them into SNOMED CT (code 709044004 chronic kidney disease) international standard clinical codes. When linked to Apple Watch, if acute warning signs such as HRV/HR anomalies are detected, the UI will be force-taken within 10 seconds to trigger an emergency alert status machine and immediately notify the medical team.