"The study showcases the remarkable ability of AI to grasp these intricate spatial relationships among cells within tissues, extracting subtle information previously beyond human comprehension while predicting patient outcomes," said study leader Guanghua Xiao, a professor at the University of Texas Southwestern Medical Center in the US.
Tissue samples are routinely collected from patients and placed on slides for interpretation by pathologists, who analyse them to make diagnoses. However, this process is time-consuming, and interpretations can vary among pathologists, the researchers said.
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