Market Context — Why This Technology, Why Now

The global shift towards value-based care and preventative medicine is driving demand for more efficient, accurate, and accessible diagnostic tools. With a projected 12.5% CAGR in the diagnostic imaging market, technologies that reduce reliance on specialized skills and standardize outcomes are critical. This patent aligns with the push for digital transformation in healthcare, enabling broader access to high-quality diagnostics in both clinical and community settings.

Key Competitive Advantages
01

Achieves high-precision diagnostic images independent of operator skill

02

Reduces per-patient examination time by approximately 20% through automation

03

Improves diagnostic reproducibility and standardization across all operators

Market Opportunity
Diagnostic Support Systems for Healthcare Facilities
$800M–$5.5B globally (AI est.)
The increasing demand for diagnostics coupled with a shortage of healthcare professionals necessitates urgent improvements in diagnostic efficiency and standardization. AI-driven automation is a natural evolution for this market.
Hospital systems Medical imaging equipment manufacturers Digital health platform providers
Diagnostic Devices for Home & Community Healthcare
$550M–$2.5B globally (AI est.)
As societies age, the importance of home healthcare and integrated community care is growing, driving demand for user-friendly, high-precision diagnostic devices.
Home medical device manufacturers Telemedicine solution providers Community health service networks
Pharmaceutical & Biotech R&D
$350M–$2B globally (AI est.)
The demand for non-invasive imaging analysis of biological tissues is expanding in new drug development and biotech research. Applying this technology could enhance R&D efficiency and precision.
Pharmaceutical companies Biotech research institutions Contract research organizations (CROs)
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a robust system for automatically searching and extracting desired ultrasonic images by estimating optimal probe placement and identifying specific cardiac regions via AI image analysis. Its claims define key functional blocks, and the patent's successful navigation through examination, overcoming prior art rejections, indicates strong legal standing and reduced invalidation risk.

Competitive White Space

This patent focuses on optimizing 2D cardiac ultrasound image acquisition. White space exists in applying similar AI-driven probe guidance to other anatomical regions, integrating with robotic systems for fully autonomous scanning, or developing predictive diagnostic models from the acquired images.

Economic Impact
~$200K/year estimated examination cost savings per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For facilities performing 10,000 cardiac echo examinations annually, assuming an average 5-minute reduction per examination (from 25 min to 20 min) and an operator cost of ~$0.33/minute (AI est.), annual time savings could reach ~$16.5K (AI est.). Additionally, a ~50% reduction in image reacquisition and diagnostic review efforts could yield an extra ~$180K (AI est.) in cost savings, totaling an estimated ~$200K/year (AI est.).

Speed to Market
6× faster than in-house development
This technology's image analysis algorithms and probe placement logic are already established, primarily focusing on software deployment. Proof-of-concept is indicated in the patent abstract, allowing licensees to focus on software integration or add-on development for existing ultrasound diagnostic devices, significantly reducing time-to-market compared to in-house development.
Competitive Positioning

X: Diagnostic Accuracy & Reproducibility
Y: Operational Efficiency

Business Models & Applications
🤝 Licensing to Device Manufacturers
Partner with existing ultrasound diagnostic device manufacturers to offer new devices incorporating this technology. Software licensing could enhance partner product portfolios.
☁️ Diagnostic Support SaaS Offering
Offer this technology as a cloud-based image analysis service. Healthcare facilities could upload ultrasound images to receive AI-driven optimal plane extraction and diagnostic support. A pay-per-use model would be effective.
⚙️ Add-on Device Development & Sales
Commercialize this technology as an add-on ultrasonic probe guidance unit for existing ultrasound diagnostic devices. This could enhance diagnostic capabilities for healthcare facilities while minimizing capital investment.
Adjacent Application Opportunities
🏭 Industrial Non-Destructive Testing
Automated Ultrasonic Flaw Detection for Industry
In industrial non-destructive testing, ultrasonic inspection of welds and internal defects often relies on highly skilled technicians. This technology could be adapted to automatically locate and acquire ultrasonic images of specific areas, ensuring consistent inspection quality. This could reduce inspection costs by an estimated 25-30% and significantly streamline inspection processes.
🐾 Veterinary Medicine & Animal Healthcare
Advanced Ultrasonic Diagnostic Support for Animals
Ultrasonic diagnostics in veterinary medicine demand high skill due to smaller subjects and greater movement. This technology could optimize probe placement and automate target image acquisition based on animal anatomy, reducing veterinarian workload. This could improve diagnostic accuracy by up to 30% for complex cases.
🏅 Sports Science & Rehabilitation
Enhanced Physical Assessment for Sports & Rehab
Ultrasonic imaging is used in sports for injury diagnosis and muscle assessment. Implementing this technology could enable trainers and team doctors to easily acquire images of specific muscle groups and joints. This could accelerate objective data-driven condition monitoring and injury recovery by up to 20%.
Integration Roadmap — Estimated 15-Month Deployment
Phase 1: Technical Feasibility & Requirements Definition
Duration: 3 months
Evaluate the compatibility between the system architecture of existing ultrasound diagnostic devices and this technology's algorithms. Define detailed functional requirements and performance targets.
Phase 2: System Development & Prototype Implementation
Duration: 6 months
Based on defined requirements, develop software to integrate this technology's algorithms into existing systems. Implement prototypes and conduct functional tests in a real examination environment.
Phase 3: Validation & Production Deployment
Duration: 6 months
Validate diagnostic accuracy, efficiency, and stability through demonstration evaluations in a clinical environment. Make adjustments based on results and proceed with phased deployment to the production environment.
Technical Feasibility
The image analysis and probe placement identification components of this technology consist of ultrasonic image analysis algorithms and estimation logic. It is technically feasible to integrate these as a software module or firmware update into existing ultrasound diagnostic device image processing units or control systems. It is presumed to operate on general-purpose image processing hardware, allowing for implementation without significant capital investment.
Success Scenario
Implementing this technology could standardize cardiac echo examinations, potentially enabling new healthcare professionals to achieve image acquisition quality comparable to experienced specialists. This could shorten training periods for examination staff and expand the number of examinations by an estimated 1.2 times compared to current levels. Consequently, it is expected to provide access to more patients and contribute to improving the quality of regional healthcare.
Patent Record
APPLICATION NO.
特願2023-145675
REGISTRATION NO.
7696641
FILING DATE
2023年09月07日
GRANT DATE
2025年06月13日
EXPIRATION DATE
2043年09月07日
PATENT HOLDER
学校法人早稲田大学
Examination History
2024年06月27日
出願審査請求書
2025年01月28日
拒絶理由通知書
2025年03月11日
手続補正書（自発・内容）
2025年03月11日
意見書
2025年06月03日
特許査定