The global digital health market is experiencing rapid growth, driven by advancements in AI, big data analytics, and the imperative to improve healthcare accessibility and reduce costs. Regulatory pressures for enhanced patient safety and diagnostic accuracy further compel medical institutions to adopt innovative solutions. This technology aligns perfectly with these trends, offering a tangible pathway to optimize clinical workflows, mitigate staffing shortages, and deliver higher quality care in an increasingly data-intensive environment.
Significantly reduces processing load for diagnostic information generation. Efficiently generates diagnostic support information from MRI image data, potentially reducing data processing volume by ~66% compared to conventional methods and lowering overall system load.
Enables flexible and diverse diagnostic information display. Displays magnetic resonance images from multiple perspectives, allowing physicians to review diagnostic data comprehensively, which could reduce oversight risks and shorten diagnosis times, improving accuracy and efficiency.
Demonstrates high originality beyond prior art. Patentability was granted after examination citing four prior art documents, indicating it cleared standard prior art searches and offers unique value distinct from existing MRI image diagnostic technologies.
This patent protects a diagnostic information display system that efficiently generates and displays specialized information from MRI images, overcoming four prior art citations during examination. With 12 claims, it secures a broad scope of protection, indicating strong validity and low invalidation risk, enabling stable business development for licensees.
This patent primarily covers the efficient generation and display of diagnostic information from MRI. White space exists in developing AI-driven predictive analytics for disease progression or integrating this display technology with multi-modal imaging data for comprehensive patient assessment.
Assuming this technology shortens MRI diagnosis time by an average of 5 minutes per case. For a medical institution performing 50 diagnoses per day, annual diagnoses total ~12,000 cases (50 cases/day × 240 days/year), resulting in 1,000 hours of saved physician time annually. With an average physician annual labor cost of ~$100K (AI est.) for 2,000 working hours, the hourly rate is ~$50/hour (AI est.). This translates to a direct cost reduction of ~$50K/year (AI est.), with total economic benefits, including increased diagnostic throughput and reduced misdiagnosis risk, estimated at ~$150K/year (AI est.).
X: Diagnostic Efficiency Improvement
Y: Implementation Cost Performance