The AI-Driven Foundation of Reproductive Medicine
Our in-house, deep-learning-based AI algorithms provide high-precision support for embryo selection and clinical decision-making, redefining the technological boundaries of assisted reproduction.
Core AI Algorithm Cluster
Integrating world-leading computer vision and predictive modeling for intelligent oversight across the entire workflow.
Multi-Dimensional Image Recognition
Time-lapse imaging captures the full embryo-development process, while neural-network models automatically detect key morphological features with accuracy beyond industry standards.
Self-Learning Predictive Model
Combining millions of de-identified clinical records, it dynamically optimizes pregnancy-success prediction algorithms and creates personalized intervention plans for each couple.
High-Throughput Data Processing
A real-time distributed architecture responds to massive lab sensor data in milliseconds, ensuring absolute real-time, secure oversight of clinical operations.
Full-Stack Technology Architecture
Our system delivers a complete loop—from raw clinical data collection, through AI deep cleaning and standardization, to precise decision support. This architecture ensures every medical decision is well-grounded and every piece of experimental data creates value.
- check_circle Data layer: multi-dimensional heterogeneous data standardization engine
- check_circle Algorithm layer: large-scale reproductive-medicine model library
- check_circle Application layer: fully automated decision assistant for clinical workflows
Deep Academic Roots & R&D Strength
Shanghai Qiubei Medical Technology Co., Ltd. follows an “industry-academia-research integration” strategy, building long-term partnerships with top reproductive medical centers and research institutions at home and abroad.
Simulation Lab
Capture Matrix
Ready to embrace the future of assisted reproduction?
Contact our technical advisors today for a tailored AI smart-lab upgrade plan.