This technology visualizes pathological images in three dimensions using AI-based light-sheet microscopy analysis, while preserving the actual structure of the tissue. (Using the AiVIA program) This has significantly improved both analysis speed, up to 1,000 times faster than conventional methods, and precision. This technology is expected to play a revolutionary role, especially in cancer diagnosis where tumor boundaries and staging are critical. The three-dimensionalization of pathology diagnosis is also anticipated to have significant ripple effects on replacing animal testing and realizing precision medicine. The research has been published in the SCI international academic journal eBioMedicine, and follow-up projects for future commercialization are currently underway.