The global healthcare industry is undergoing a rapid digital transformation, with increasing adoption of AI-powered diagnostics to combat rising costs and workforce shortages. Regulatory bodies are also pushing for standardized, evidence-based care, making technologies that offer objective, high-precision analysis highly attractive. This patent positions licensees to capitalize on the growing demand for efficient, scalable cardiac diagnostic solutions, driving competitive advantage in a market projected to grow at an 18.5% CAGR.
Enables high-precision cardiac function assessment for non-specialists, simplifying complex manual measurements.
Increases diagnostic efficiency by reducing cardiac test time, allowing more patient throughput.
Secures strong IP protection, validated through examination against 8 prior art documents, ensuring market differentiation.
This patent protects a cardiac function analysis device, method, and program, specifically covering the use of a polygonal model and image recognition algorithms to analyze ventricular motion from dynamic images. The patent's strong claims, covering 15 items, were granted after successfully differentiating against 8 cited prior art documents, indicating robust and stable intellectual property.
This patent primarily covers the analysis method and system for ventricular function. White space exists in integrating this analysis with other physiological data for predictive diagnostics or developing therapeutic intervention systems based on the derived cardiac metrics.
Assuming a reduction of 15 minutes per cardiac function analysis for 5,000 cases annually per facility, this technology could save 1,250 hours of medical professional time per year. At an average hourly rate of ~$65 (AI est.) for physicians/technicians, this translates to an estimated annual cost reduction of ~$85K (AI est.) per facility. Broader deployment across multiple healthcare institutions and screening centers could generate a total economic impact of ~$1.5M–$6M (AI est.) annually, alongside non-monetary benefits like reduced treatment costs from early diagnosis and improved patient quality of life.
X: Diagnostic Efficiency
Y: Analysis Accuracy and Objectivity