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February 5, 2019CA A Cancer Journal for CliniciansOpen Access

Artificial intelligence in cancer imaging: Clinical challenges and applications

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Authors

WBWenya Linda BiBrigham and Women's HospitalAHAhmed HosnyUnited States Geological SurveyMSMatthew B. SchabathCardio-Oncology

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Implication

The review examines AI applications in cancer imaging, emphasizing clinical challenges and advancements in four tumor types.

Key Points

  • To explore the role of artificial intelligence in enhancing cancer imaging and the associated clinical challenges.
  • Reviewed current applications of AI in cancer imaging.
  • Highlighted four tumor types: lung, brain, breast, and prostate.
  • Assessed challenges related to detection and characterization of cancers.
  • Examined the impact of AI on clinical decision-making and workflow.
  • AI shows promise in improving tumor detection and characterization.
  • Volumetric delineation of tumors enhanced by AI tools.
  • Predictions of clinical outcomes improved with AI analysis.
  • Concerns remain regarding validation and generalizability of AI technologies.

Cite This Study

Bi et al. (2019) studied this question.

synapsesocial.com/papers/69601027127eaaa796e77296https://doi.org/10.3322/caac.21552
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