Providing AI-assisted lung nodule detection tools for patients undergoing LDCT scans or lung cancer screening with simultaneous real-time alerts for aortic abnormalities.

The “Prophet of Intelligent Discovering” AI platform integrates AI, HIS, PACS, and RIS systems. It enables rapid aortic diameter measurement and lung nodule detection from LDCT scans, with real-time abnormal case alerts. Radiologists can prioritize interpretation, reducing patient follow-up time by 79%. Utilization at the main hospital and Hsinchu branch has reached nearly 90%, significantly reducing clinical workload and improving patient safety. Future expansion will target other hospitals, health screening centers, and rural areas, advancing health for all ages.

Rapid interpretation: Aortic diameter measurement and lung nodule detection completed within 20–50 seconds per LDCT scan.

High accuracy: Aortic diameter error <1%; lung nodule sensitivity 96.4%.

Real-time alerts: 100% abnormal cases notified instantly, enabling prioritized interpretation and faster patient follow-up.

System integration: One-stop platform connecting AI, HIS, PACS, and RIS, streamlining workflows and reducing clinical workload.

Clinical impact: Patient follow-up time reduced by 79%; utilization rate nearly 90% at main hospital and Hsinchu branch.

Future expansion: Promotion to other hospitals, health screening centers, and rural areas, advancing health for all ages.

Interpretation time per LDCT scan: 20–50 seconds

Aortic diameter measurement error: <1%

Lung nodule detection sensitivity: 96.4%

Nearly 90% of radiologist use

Patient follow-up time reduced by 79%

Improved diagnostic efficiency and patient safety

Reduced clinical workload for radiologists

Enhanced continuity of care through cross-team collaboration

100% real-time alerts for abnormal cases

Radiation dose management and quality control mechanisms implemented

Significant reduction in adverse event rates

Patients: Follow-up time reduced by 79%, enabling faster access to subsequent care and improving convenience and sense of safety. Patients reported greater efficiency in diagnostic processes and reduced anxiety from waiting.

Radiologists: The AI platform automatically measures aortic diameter and detects lung nodules, significantly reducing interpretation workload. Physicians noted streamlined workflows and improved clinical efficiency.

Cross-team collaboration: Clinicians, radiology staff, and IT departments highlighted smoother communication after integration with HIS, PACS, and RIS, enhancing continuity of care.

Overall satisfaction: Nearly 90% of radiologist use, reflecting high clinical acceptance and positive feedback from both patients and medical staff.

Published in the international journal Cancers

Presented at international medical imaging conferences

Established new standards for AI-assisted interpretation

Improved medical quality and efficiency domestically and internationally

Advanced smart hospital development and sustainable healthcare