This review provides an overview of current and emerging AI applications, from risk assessment and early detection to treatment and supportive care.
AI‐driven tools are being developed to integrate diverse data sources, including multi‐omics and electronic health records, to improve cancer risk stratification and personalize prevention strategies.
In screening and diagnosis, AI algorithms show promise in augmenting the accuracy and efficiency of medical image analysis and histopathology interpretation.
AI also offers opportunities to refine treatment planning, optimize radiation therapy, and personalize systemic therapy selection.
The future of oncology is increasingly intertwined with AI.
By embracing this technology responsibly, educating health care professionals, and fostering human - AI collaboration, we can usher in anew era of personalized, precise, and effective cancer care - ultimately improving outcomes and quality of life for all patients.
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