PROGRESS THROUGH COLLABORATION

Partners

Working with clinical and research teams
to turn technology into practical applications.

RadiRad collaborates with healthcare institutions and academic teams to validate medical imaging and physiological signal analysis technologies and explore applications that address clinical needs.

ACADEMIC RESEARCH

National Yang Ming Chiao Tung University

Research and validation in medical imaging and physiological signal analysis, advancing AI applications in healthcare.

RadiSpine / RadiHeart

CLINICAL RESEARCH

Taipei Veterans General Hospital

Research on automated lumbar MRI segmentation and quantification, and functional validation of the RadiSpine system.

RadiSpine

PHYSIOLOGICAL SIGNAL RESEARCH

Hualien Tzu Chi Hospital

Research and validation collaboration for RadiHeart physiological signal analysis.

RadiHeart

CLINICAL APPLICATION

Harrison Spinartus Hospital

Deploying AI analysis to explore clinical applications in pre- and postoperative lumbar imaging assessment.

RadiSpine · South Korea

QUANTITATIVE IMAGING RESEARCH

CHA University / CHA Bundang Medical Center

Collaborative research on AI-based quantitative assessment of recovery after lumbar fusion.

RadiSpine · South Korea

COLLABORATION IN PRACTICE

From collaboration to practical applications.

Clinical implementation | Seoul, South Korea

Harrison Spinartus Hospital

Working with Dr. Kim Hyun-sung’s team, we deployed an in-hospital AI imaging analysis service to support pre- and postoperative lumbar assessment. Quantitative information complements clinical interpretation and extends the role of imaging analysis in patient care.

Research meeting with CHA University and CHA Bundang Medical Center

Research collaboration | Seongnam, South Korea

CHA University / CHA Bundang Medical Center

In collaboration with Dr. Han In-bum’s team, we are researching AI-based quantitative assessment of recovery after lumbar fusion. By combining medical imaging analysis with clinical research needs, the project explores the potential of quantitative imaging indicators in postoperative assessment.