Precision Lung Analysis with AI-Driven Data and Clinical Evidence
Combining deep learning with on-premise computing to automate low-dose computed tomography (LDCT) analysis. Quantify clinical indicators for pulmonary hypertension and chronic obstructive pulmonary disease (COPD) while generating 3D models to support diagnostic precision.
Automated Analytics for Superior Clinical Outcomes
Accelerate Medical Image Reading
AI-powered quantification eliminates manual measurements, empowering physicians to focus on critical clinical decisions.
Minimize Diagnostic Variability
AI-driven quantification provides objective data, reducing experience-based discrepancies and strengthening the clinical reliability of every report.
Enhance Clinical Collaboration
Interactive 3D organ models streamline multidisciplinary discussions and patient consultations, simplifying complex workflows through intuitive visualization.
On-Premise Data Security
Execute AI inference locally with zero cloud uploads. Fully comply with institutional privacy standards and medical data security regulations.
Scalable Modular Design
Add new diagnostic modules as clinical needs evolve. Future-proof your infrastructure and maximize long-term investment value.
Scale Diagnostic Capacity
AI-assisted interpretation reduces reporting time, enabling higher LDCT throughput and meeting peak demand without increasing headcounts.
Application Scenarios
Department of Radiology
Manage growing LDCT volumes without additional staffing. Maintain high-quality diagnostic standards and consistent throughput under high-demand workloads.
Thoracic Medicine
Use 3D lung models and objective data to simplify complex diagnoses. Improved understanding fosters stronger patient trust and higher treatment compliance.
Health Management Center
Integrate pulmonary hypertension and COPD indicators into existing workflows. Extract more value from a single scan to detect latent pulmonary risks earlier.
You May Be Curious
Can this system provide a definitive clinical diagnosis?
No. Our system is a clinical decision support tool. It provides quantitative indicators to assist physicians, who retain sole responsibility for the final diagnosis and clinical judgment.
Is a cloud or internet connection required for operation?
While the system functions in networked environments, all AI inference is executed locally. No images are uploaded to the cloud, ensuring full compliance with institutional privacy and security standards.
Which pathologies does the system currently support?
We currently offer dedicated modules for pulmonary hypertension risk assessment and chronic obstructive pulmonary disease (COPD) detection. Our modular architecture allows for the seamless addition of new disease analysis modules as clinical needs expand.
What hardware infrastructure powers the system?
The system runs on the GIGABYTE AI TOP ATOM supercomputer, optimized for medical environments. This standalone setup ensures stable operation and simplifies integration by reducing deployment complexity.
Can the system's output be integrated into our existing PACS?
Yes. Our architecture is designed with the extensibility to interface with hospital PACS. Specific integration workflows can be jointly planned during the implementation phase to meet your institution's unique requirements.
