AI-link omnipotent pathological robot: Bridging medical meta-universe to real-world diagnosis and therapy

Abstract

To address the challenges in pathological diagnosis, a pathological metaverse called the artificial intelligence (AI)-link omnipotent pathological robot (ALOPR) has recently been developed. ALOPR comes from the field of remote sensing, in which images from different sensors are analyzed in a wide spectral range. It is designed for high-resolution multispectral imaging and intelligent analysis of tumor slices with multiple biomarkers. Unlike the traditional digital pathological slice scanner, ALOPR integrates imaging, visualization, AI multimodal diagnosis, spatial omics analysis, data encryption, accurate quantification, and the tumor microenvironment. This integration, along with improvements in efficiency, accuracy, and flexibility, enables ALOPR (Figure 1) to be used in hospitals at multiple levels, including rural hospitals, county hospitals, community hospitals, and tertiary hospitals.

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