AI decodes cancer: advances in research, diagnosis, and therapy

AI shows high performance in radiology for cancer lesion detection and segmentation, and aids therapy response prediction. Future: explainable AI, digital twins.

• Intended for clinicians and researchers in oncology and radiology, bridging AI innovation with precision oncology practice.
• AI accelerates drug discovery, enhances genomic data interpretation, and aids non-invasive liquid biopsy analysis.
• Current barriers: data heterogeneity, algorithmic bias, interpretability, and regulatory hurdles.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.