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Artificial intelligence technology in cancer imaging: Clinical challenges for detection of lung and breast cancer

Author

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  • Mario COCCIA

Abstract

This article discusses the application of artificial intelligence in cancer imaging, focusing on lung and breast cancer detection. It highlights clinical challenges, technological limitations, and future directions for AI integration in medical diagnostics.

Suggested Citation

  • Mario COCCIA, 2019. "Artificial intelligence technology in cancer imaging: Clinical challenges for detection of lung and breast cancer," Journal of Social and Administrative Sciences, EconSciences Journals, vol. 6(2), pages 82-98, June.
    • Handle: RePEc:cvv:journ4:v:6:y:2019:i:2:p:82-98
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    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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