In a new study published in the journal Nature, researchers demonstrate an AI-powered 3D scanning system that can automatically sort through samples and identify abnormal cells with performance approaching that of human experts.
The team developed a system called Whole-Slide Edge Tomography, which uses a scanner to capture a series of images at different depths to create a 3D digital model of every cell on a slide.
The system's AI program then identifies individual cells and analyzes their 3D shape and internal details to determine whether they are healthy or abnormal.
It then organizes this information using an approach the researchers named Cluster of Morphological Differentiation (CMD).
This plots the cells on a map showing the locations of both healthy cells and those shifting toward disease.
The scientists tested their platform on hundreds of cervical samples.
The AI was highly accurate in identifying different stages of the disease.
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