The Benefits of Artificial Intelligence Technology in the Health Sector

  • Nicolas Marchi School of Medicine, Trinity College Dublin, The University of Dublin, Ireland
Keywords: Artificial Intelligence, Machine Learning, Health Outcomes

References

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FDA. (2018). FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems. Retrieved from https://www.fda.gov/news-events/press-announcements/fda-permits-marketing-artificial-intelligence-based-device-detect-certain-diabetes-related-eye

Haenssle, H. A., Fink, C., Schneiderbauer, R., Toberer, F., Buhl, T., Blum, A., . . . Zalaudek, I. (2018). Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Ann Oncol, 29(8), 1836-1842. doi:10.1093/annonc/mdy166

McKinney, S. M., Sieniek, M., Godbole, V., Godwin, J., Antropova, N., Ashrafian, H., . . . Shetty, S. (2020). International evaluation of an AI system for breast cancer screening. Nature, 577(7788), 89-94. doi:10.1038/s41586-019-1799-6

Rao, A., & Verweij, G. (2017). Sizing the prize: What’s the real value of AI for your business and how can you capitalise? Retrieved from https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf

Published
2021-04-23
How to Cite
Marchi, N. (2021). The Benefits of Artificial Intelligence Technology in the Health Sector. Trinity Student Medical Journal . Retrieved from https://www.tsmj.ie/index.php/tsmj/article/view/1767
Section
Features