Artificial Intelligence in Cancer Management: Promise, Pragmatism, and Preparedness
DOI:
https://doi.org/10.31557/apjcc.2026.11.3.325-327Keywords:
Artificial Intelligence, Cancer ManagmentAbstract
Artificial intelligence is transforming cancer detection, treatment planning, and decision support, yet its rapid adoption risks outstripping validation, ethical safeguards, and economic sustainability. Key challenges include algorithmic bias, generalizability failures, opaque liability, and high implementation costs. Responsible integration demands clinician involvement, fairness-aware development, dynamic consent, and adaptive reimbursement. AI will augment, not replace oncologists, but its success hinges on rigorous governance and patient-centered scrutiny.


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