Artificial Intelligence

Displaying 51 - 59 of 59CSV
Ronquillo, C. E., Mitchell, J., Alhuwail, D., Peltonen, L.-M., Topaz, M., & Block, L. J. (2022). The Untapped Potential of Nursing and Allied Health Data for Improved Representation of Social Determinants of Health and Intersectionality in Artificial Intelligence Applications: A Rapid Review. Yearbook of Medical Informatics, 31(01), 094–099. CLOCKSS. https://doi.org/10.1055/s-0042-1742504
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Columbia Affiliation
Dercle, L., McGale, J., Sun, S., Marabelle, A., Yeh, R., Deutsch, E., Mokrane, F.-Z., Farwell, M., Ammari, S., Schoder, H., Zhao, B., & Schwartz, L. H. (2022). Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy. Journal for ImmunoTherapy of Cancer, 10(9), e005292. https://doi.org/10.1136/jitc-2022-005292
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von Gerich, H., Moen, H., Block, L. J., Chu, C. H., DeForest, H., Hobensack, M., Michalowski, M., Mitchell, J., Nibber, R., Olalia, M. A., Pruinelli, L., Ronquillo, C. E., Topaz, M., & Peltonen, L.-M. (2022). Artificial Intelligence -based technologies in nursing: A scoping literature review of the evidence. International Journal of Nursing Studies, 127, 104153. https://doi.org/10.1016/j.ijnurstu.2021.104153
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Columbia Affiliation
Luna, A., Casertano, L., Timmerberg, J., O’Neil, M., Machowsky, J., Leu, C.-S., Lin, J., Fang, Z., Douglas, W., & Agrawal, S. (2021). Artificial intelligence application versus physical therapist for squat evaluation: a randomized controlled trial. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-97343-y
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Schultz, M. A., Walden, R. L., Cato, K., Coviak, C. P., Cruz, C., D’Agostino, F., Douthit, B. J., Forbes, T., Gao, G., Lee, M. A., Lekan, D., Wieben, A., & Jeffery, A. D. (2021). Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes. CIN: Computers, Informatics, Nursing, 39(11), 654–667. https://doi.org/10.1097/cin.0000000000000705
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