AI-Driven
Smart Dialysis
Making Every Dialysis Treatment Safer
From assisted to autonomous — through IoT data collection, specialized AI engine, and real-time clinical decision support, we transform dialysis from experience-driven to data-driven.
50+ Centers Deployed | 3000+ Dialysis Machines | Evidence-Based Medicine
Core Clinical Challenges in Traditional Dialysis
Intradialytic hypotension (IDH) occurs in 15-30% of sessions¹, causing myocardial stunning, ischemic brain white matter injury, and other organ damage². Studies show that nadir systolic BP <90 mmHg during dialysis is significantly associated with mortality³, and ultrafiltration rates >10 ml/h/kg increase mortality risk by 9%⁴. Additionally, dry weight assessment is highly experience-dependent, with significant variability between physicians.
Our AI system analyzes BP trends, UF tolerance patterns, and historical treatment data to predict IDH events minutes before onset, optimize UF profiling, and provide evidence-based dry weight recommendations.
References
1. Daugirdas JT. Measuring Intradialytic Hypotension to Improve Quality of Care. J Am Soc Nephrol 2015;26:512-514
2. McIntyre CW. Hemodialysis-Associated Cardiomyopathy: A Newly Defined Disease Entity. Semin Dial 2014;27:87-97
3. Flythe JE, et al. Association of Mortality Risk with Various Definitions of Intradialytic Hypotension. J Am Soc Nephrol 2015;26:724-734
4. Saran R, et al. Longer treatment time and slower ultrafiltration in hemodialysis: associations with reduced mortality in the DOPPS. Kidney Int 2006;69:1222-1228
IDH Prevention
Reduced intradialytic hypotension through predictive alerts
Dry Weight Management
Data-driven dry weight assessment, reducing inter-physician variability
Risk Detection
Multi-dimensional analysis to identify potential complication risks early
Data-Driven Care
Transforming dialysis from experience-driven to data-driven precision management
Complete Closed-Loop from Data Source to Clinical Decision
Starting from the data source, we've built a complete chain from data collection, analysis, evaluation, recommendations to real-time feedback.
IoT Data Infrastructure
Full IoT integration of dialysis machines, BP monitors, scales and core dialysis room equipment. 3,000+ dialysis machines connected with high-frequency data streaming every minute.
Dialysis-Specific AI Engine
Customized LLM trained on dialysis clinical data, combined with AI Agent for IDH prediction, UF rate optimization, and dry weight assessment.
Real-Time Clinical Decision Support
Continuous intradialytic monitoring with alerts for BP trends, UF tolerance, access flow, and Kt/V adequacy. Prescription adjustment recommendations integrated into physician workflow.
Real Data, Real Improvements
Based on data from Suntop-operated dialysis centers, 2024-2025
Validated Deployment Scale
Explore Our Solutions
From technical architecture to clinical applications, discover our smart dialysis platform