Longyear Health January 2, 2026
Reviewing the state of AI in oncology as of 2025
Cancer represents one of medicine’s most formidable challenges, characterized by extraordinary biological complexity and clinical heterogeneity (e.g., each patient has unique circumstances). Unlike many other disease categories, oncological conditions arise from intricate interactions between genetic mutations, epigenetic modifications, and environmental factors that produce tumors with unique molecular signatures and therefore unique challenges with diagnosis and treatment. This complexity manifests in the remarkable diversity of cancer presentations, such that even tumors originating from the same tissue type can behave dramatically differently between patients, responding variably to identical treatment regimens.
Physicians navigating oncology care pathways face multifaceted challenges that extend far beyond diagnosis. Treatment selection requires synthesizing vast amounts of information: tumor...
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