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September 5, 2025CancersOpen Access

Revolutionizing Oncology Through AI: Addressing Cancer Disparities by Improving Screening, Treatment, and Survival Outcomes via Integration of Social Determinants of Health

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Authors

ASAmit Kumar SrivastavCentral Forensic Science LaboratoryDSDevinder SinghUniversity of MiamiSSShailesh SinghMorehouse School of Medicine

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Implication

Review reveals AI significantly improves cancer treatment and outcomes in diverse populations, highlighting essential social determinants of health.

Key Points

  • AI has improved cancer diagnostics and treatment outcomes, particularly for underserved populations.
  • Predictive modeling integrates social determinants of health, enhancing personalized oncology care.
  • Machine learning and deep learning enhance early detection and optimize screening programs.
  • Challenges like AI bias and treatment disparities still need to be addressed in cancer care.

Cite This Study

Srivastav et al. (2025) studied this question.

synapsesocial.com/papers/68c239a3b210217d6477d858https://doi.org/10.3390/cancers17172866
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