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March 3, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

A Review on the Applications and Implications of Artificial Intelligence and Machine Learning in Oncology

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KHKunal HiwasePVPrateek VermaNZN. R. Zade

Key Points

  • AI technologies enhance predictive modeling in oncology, improving diagnosis efficiency.
  • Clinical decision support systems using machine learning demonstrate significant accuracy gains in patient assessments.
  • Assessment of AI applications in oncology shows promise in personalizing treatment plans and reducing errors.
  • Implications of AI in cancer care include potential reductions in healthcare costs and improved patient outcomes.
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Cite This Study

Hiwase et al. (2026) studied this question.

synapsesocial.com/papers/69a75efac6e9836116a2a069https://doi.org/10.1007/s44196-026-01164-8
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