To enhance analytical automation, AI algorithms for full organ recognition have been developed for both rats and mice. These algorithms:

• Automatically detect the location and type of organs in pathological sections.

• Link directly to basic structure recognition models, improving accuracy.

• Eliminate the need for manual selection of organ-specific models, achieving fully automated analysis.

The system recognizes 47 rat organs and 48 mouse organs with a recognition accuracy of 95% or higher for each organ type.

High-quality digital scans are essential for reliable AI analysis of pathological slides. To address issues such as blur caused by dirt, improper lighting, or focus errors during digitization:

• A slice scanning quality detection algorithm was developed.

• The algorithm identifies and marks blurred regions and highlights slides with scanning quality issues, reducing the need for manual inspections.

• Administrators can focus only on flagged slides, significantly lowering the quality inspection workload.

The detection algorithm achieves a 90% detection rate and a 92% accuracy rate, ensuring reliable input for AI-driven analyses.

To make AI integration feasible in large-scale industrial settings, balancing performance with cost-efficiency is critical.

• Research demonstrated that using small parameter models, low video memory graphics cards, and compact memory cards delivers competitive results without compromising accuracy.

• All developed AI algorithms have been optimized for lightweight deployment, making them compatible with relatively low-cost hardware devices.

This approach ensures the cost-effectiveness of implementation, paving the way for widespread adoption of AI in pathology.

By leveraging structured R&D, full organ recognition, quality detection, and cost-efficient deployment, this AI platform provides a comprehensive solution for automated pathology analysis.

These advancements improve diagnostic precision, streamline workflows, and enhance the feasibility of integrating AI into routine and large-scale pathology applications.