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October 2, 2025Edelweiss Applied Science and TechnologyOpen Access

Future trends of AI in precision oncology: Insights from a systematic review and evidence-based roadmap (2021–2024)

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Authors

PHPedro Herrera-MoyaDPDennis Alfredo Peralta-Gamboa

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Overview

Systematic review reveals AI enhances diagnostic accuracy and treatment in oncology, suggesting a roadmap ahead.

Key Points

  • AI applications have shown significant improvements in diagnostic accuracy for cancer detection and treatment planning.
  • A hybrid CatBoost-MLP model demonstrated an impressive 98.06% accuracy in breast tissue classification.
  • Despite the advancements, challenges such as data standardization and ethical considerations persist in AI integration.
  • The potential of AI to revolutionize personalized treatment strategies may improve patient outcomes and healthcare access.

Cite This Study

Herrera-Moya et al. (2025) studied this question.

synapsesocial.com/papers/68de79715b556a9128e1b279https://doi.org/10.55214/2576-8484.v9i9.10162
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