Across imaging, oncology, surgery and radiotherapy.

Private Healthcare
Jiahui International Hospital builds a multi-scenario smart diagnosis platform.
SenseCare supports AI-assisted diagnosis across imaging, oncology, surgery and radiotherapy workflows in Shanghai and Shenzhen campuses.

Case Summary
Jiahui International Hospital
Since 2022, Jiahui International Hospital has deployed more than 15 SenseCare AI application modules across radiology, hepatobiliary surgery, thoracic surgery, pediatrics, oncology and radiotherapy. The platform integrates PACS, structured reports and AI inference into a closed clinical workflow.
Reduced from about 15 minutes.
Shanghai and Shenzhen clinical settings.
More than 15 AI application modules are deployed across imaging, oncology, surgery and radiotherapy.
Applications include coronary CTA, liver CT/MR, liver planning, bone age, chest CT, chest X-ray, lung planning, lower-limb alignment, head and neck vessels, stroke and GenRaD image enhancement.
Cardiac CTA segmentation and reconstruction time was reduced from about 15 minutes to under 1 minute.
The platform is used across Shanghai and Shenzhen campuses, supporting standardized smart diagnosis in a high-end private hospital system.
A high-end private hospital platform
Jiahui International Hospital uses SenseCare as a smart diagnosis platform rather than a single disease tool. The system connects data acquisition, AI inference, result presentation and structured reporting.
This is especially important for private healthcare settings where clinical efficiency, service experience and consistent quality need to move together.
Multi-department AI in routine use
The deployed modules cover cardiovascular, chest, liver, orthopedic, cerebrovascular and radiotherapy scenarios. In coronary CTA, AI reduces segmentation and reconstruction from about 15 minutes to under 1 minute, while also providing quantitative information to support physician interpretation.
As usage in radiotherapy and imaging departments continues to rise, the platform supports a more refined and sustainable intelligent-care model.
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