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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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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1AI-Driven Advances in Precision Oncology: Toward Optimizing Cancer Diagnostics and Personalized Treatment2026 · 6 citations
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  3. 3Artificial intelligence in oncology drug development and management: a precision medicine perspective2025 · 11 citations
  4. 4Artificial intelligence across the cancer care continuum2025 · 33 citations
  5. 5Artificial Intelligence in Cancer Diagnostics: Clinical Performance, Workflow Impact, and Future Directions2025