脉得智能
(Video source: “Huawei Operator Information” Video Account)
In Huilai County, Guangdong Province, a free medical consultation involving an AI-assisted diagnosis system is changing the landscape of primary healthcare. As the core AI algorithm provider for this collaboration, MedAI has partnered with China Mobile Guangdong and Huawei to jointly develop the “5G Digital Intelligence Ultrasound AI-Assisted Diagnosis” solution, enabling primary-level patients to access more accurate and efficient ultrasound-assisted diagnostic services close to home.
This collaboration has explored a replicable smart healthcare business model. MedAI has incorporated into the solution an AI algorithm holding the world’s first Class III medical device registration certificate based on the pathological gold standard for thyroid nodules. Supported by Huawei Ascend computing power and China Mobile Guangdong’s dedicated healthcare network, the solution enables a closed loop of real-time ultrasound image upload, millisecond-level AI analysis, and feedback. It can sensitively detect millimeter-scale small nodules and improve the detection rate of early lesions.
Responsibilities are clearly defined: China Mobile Guangdong provides edge cloud and dedicated networks; Huawei provides the computing infrastructure; and MedAI provides AI algorithms and intelligent analysis capabilities. This integrated “hardware + network + algorithm” delivery model lowers the barrier to digitalization at the primary care level, while the AI-assisted system frees physicians from preliminary screening. Following the collaboration, hospital ultrasound examination efficiency increased significantly, outpatient volume rose by approximately 40% year on year, thyroid nodule diagnostic accuracy approached 96%, and patients’ need to travel for examinations was effectively reduced.
This model is not simply an equipment procurement arrangement, but rather a multi-party effort to jointly build capabilities. Hospitals integrate diagnostic and treatment access points; China Mobile Guangdong adopts a “rental instead of construction” model to reduce initial costs; Huawei provides stable computing power; and MedAI contributes clinically validated AI algorithms. System response latency is below 200 milliseconds, while data are encrypted throughout the entire process and are not stored locally, ensuring efficiency and patient privacy.
Core Advantages of ITS200 MedAI Thyroid Nodule Ultrasound Imaging Assisted Diagnosis Software
Authoritative Certification and Clinical Reliability: The product holds the world’s first Class III medical device registration certificate based on the pathological gold standard for thyroid nodules, indicating that its diagnostic capabilities have undergone extensive clinical validation and can be relied upon by physicians with confidence.
Exceptional Sensitivity Without Missing Microlesions: Trained on massive volumes of pathological data, the AI algorithm enables benign and malignant diagnosis of small nodules measuring 5 mm and above, substantially reducing the risk of missed diagnoses of early lesions and helping primary care physicians improve confidence in detecting early-stage thyroid cancer.
Real-Time Interaction and Efficient Assistance: The system performs real-time analysis during ultrasound examinations and provides results within seconds without interrupting physicians’ workflow, creating an efficient new diagnostic model of “human-machine collaboration.”
Broad Compatibility and Flexible Deployment: The AI algorithm is compatible with various legacy ultrasound devices without requiring investment in high-end hardware. Combined with the elastic computing power of China Mobile Cloud and the “rental instead of construction” model, primary-level hospitals can rapidly deploy the application.
Starting from Huilai, MedAI is working with its partners to advance AI ultrasound from “single-point intelligence” to “full-domain intelligence,” enabling more people at the primary care level to benefit from digital healthcare.
Written and formatted by: Luo Chaoran, Huang Qian
Design: Huang Ruoxi
Reviewed by: Chen Yonghong