Annual patient visits served by the Ruijin program.
Future Hospital
Ruijin Hospital builds a multi-campus smart imaging and pathology foundation.
SenseCare supports Ruijin Hospital's future-hospital construction across imaging interconnection, AI diagnosis, digital pathology and multimodal research data governance.
Case Summary
Ruijin Hospital
Ruijin Hospital and SenseCare built a hospital-wide smart imaging cloud platform covering the main campus and nearly 10 branch campuses, and extended the same future-hospital logic into digital pathology, medical digital humans and multimodal research. The collaboration has produced 7 representative publications and supports imaging AI service at million-patient scale.
Cumulative module calls from August 2025 to August 2026.
Anatomical structures and vessels reconstructed with Ruijin.
Medical digital human reconstruction accuracy.
Published in high-level journals with Ruijin teams.
The platform covers Ruijin Hospital's main campus and nearly 10 branch campuses.
Imaging AI serves more than 1.1 million patient visits annually in the Ruijin deployment.
From August 2025 to August 2026, SenseCare's digital pathology AI-assisted diagnosis module was called 253,000 times.
The hospital's multi-specialty digital slide reading rate reached 90.15%, while gastrointestinal small-sample and prostate biopsy modules both exceeded 93%.
In selected routine pathology scenarios, report turnaround can be shortened from about 7 days to 1-2 days.
The Ruijin-SenseCare medical digital human reconstructs more than 400 anatomical structures and vessels with 0.4 mm reconstruction accuracy.
Seven representative collaborative studies have been published in journals including Nature Computational Science and Radiology: Artificial Intelligence.
Video
Watch the collaboration in context.
Hear from our collaborators and see SenseCare in clinical practice.
Meet the Shanghai Start-up Empowering Healthcare with AI
A multi-campus future-hospital foundation
Ruijin Hospital is a leading tertiary academic hospital with deep clinical, teaching and research strength. Its multi-campus structure requires more than single-point AI applications: it needs imaging interconnection, data management, remote consultation and clinical AI on one foundation.
SenseCare supports this by building a smart imaging cloud platform across the main campus and branch campuses, connecting mobile reading, 5G remote consultation, AI quality control, AI-assisted diagnosis and patient cloud imaging records. The Ruijin program serves more than 1.1 million patient visits annually.
From imaging to pathology and research
On top of the imaging platform, SenseCare supports AI-assisted diagnosis across multiple organs and departments, including lung, liver, head and neck vessels, cardiac coronary imaging and orthopedics.
In pathology, SenseCare helps build a digital pathology benchmark with unified slide management across campuses, high-concurrency access and AI-assisted suspicious lesion localization. From August 2025 to August 2026, the digital pathology AI-assisted diagnosis module was called 253,000 times, and multi-specialty digital slide reading reached 90.15%.
The clinical impact is becoming visible in concrete workflows: gastrointestinal small-sample and prostate biopsy modules both exceeded 93% digital reading rates, and selected routine pathology reports can be shortened from about 7 days to 1-2 days. In research, DaYi-powered data governance converts multimodal clinical data into usable disease-specific research assets.
Medical digital human and academic output
The Ruijin collaboration extends the medical world model further landing as a medical digital human. The Ruijin and SenseCare teams have co-created high-precision segmentation and reconstruction across more than 400 anatomical structures and vessels, with reconstruction accuracy reaching 0.4 mm.
The collaboration has also produced 7 representative studies in high-level journals including Nature Computational Science and Radiology: Artificial Intelligence, showing that the future-hospital program is connected to publishable clinical AI research as well as daily operations.
Related Products