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October 31, 2025Open Access

Artificial Intelligence in Oncology: Redefining Cancer Diagnosis and Therapy Through Data-Driven Precision

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Authors

AMAshutosh Kumar MauryaVPVít PAMAshish Kumar Maurya

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Overview

This review demonstrates how AI enhances early cancer detection and predictive modeling in oncology, suggesting new pathways for personalized therapy.

Key Points

  • AI-driven algorithms improve cancer diagnosis and therapy in oncology, transforming traditional approaches with precision.
  • Machine learning and deep learning techniques aid in early cancer detection and biomarker discovery to optimize therapy.
  • Observational analysis explores AI's role in therapeutic optimization and clinical decision-making to enhance treatment outcomes.
  • Challenges such as algorithmic transparency and data heterogeneity highlight the need for ethical and practical AI integration in cancer care.

Cite This Study

Maurya et al. (2025) studied this question.

synapsesocial.com/papers/6903fee5b25c631a4265ff4chttps://doi.org/10.20944/preprints202510.2252.v1
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