Scientists at Berlin’s Charité University Hospital have developed an AI model capable of identifying over 170 tumor types from all human organs. The model, called crossNN, focuses particularly on difficult-to-diagnose brain tumors. It analyzes epigenetic characteristics of tumors, providing highly accurate diagnoses without the need for invasive surgery in some cases. The AI achieves 99.1% accuracy for brain tumors and 97.8% accuracy across all tumor types. Researchers plan to conduct clinical trials across Germany to further test crossNN’s accuracy before potentially introducing it into routine cancer care.
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