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Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions.

William LotterMichael J HassettNikolaus SchultzKenneth L KehlEliezer Van AllenEthan Cerami
Published in: Cancer discovery (2024)
AI is increasingly being applied to all aspects of oncology, where several applications are maturing beyond research and development to direct clinical integration. This review summarizes the current state of the field through the lens of clinical translation along the clinical care continuum. Emerging areas are also highlighted, along with common challenges, evolving solutions, and potential future directions for the field.
Keyphrases
  • artificial intelligence
  • palliative care
  • machine learning
  • healthcare
  • big data
  • deep learning
  • current status
  • single cell
  • climate change
  • pain management
  • human health