Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (Review)

Eleftherios Trivizakis1, Georgios Z Papadakis2, Ioannis Souglakos3

  • 1Computational Biomedicine Laboratory (CBML), Foundation for Research and Technology Hellas (FORTH), 70013 Heraklion, Greece.

Summary

This review explores deep learning in radiogenomics, linking radiological features with genomic data for precision medicine in oncology. It highlights advancements, challenges, and future directions in AI-driven medical imaging analysis.

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