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Area of Science:

  • Oncology
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Artificial intelligence (AI) is rapidly transforming multidisciplinary oncology.
  • AI impacts cancer detection, classification, and treatment planning across specialties.
  • AI leverages diverse data for pattern recognition, drug discovery, and personalized medicine.

Purpose of the Study:

  • To provide a comprehensive overview of AI's role in reshaping cancer care.
  • To review the benefits and challenges of AI implementation in oncology.
  • To outline ethical and policy implications for AI in global oncology.

Main Methods:

  • Comprehensive literature review and analysis of AI applications in oncology.
  • Examination of AI's impact on diagnostic and therapeutic processes.
  • Assessment of data quality, bias, privacy, and regulatory considerations.

Main Results:

  • AI demonstrates significant potential in early diagnosis, personalized treatment, and drug discovery.
  • Challenges include data quality, algorithmic bias, explainability, privacy, and regulatory hurdles.
  • Disparities in cancer care, particularly in low- and middle-income countries (LMICs), are exacerbated by unequal AI access.

Conclusions:

  • AI offers transformative potential for patient-centric oncology.
  • Addressing ethical and policy challenges is essential for equitable and sustainable AI integration.
  • Calls to action are proposed for stakeholders to drive AI-driven oncology forward globally.