International Survey Examines Kidney Transplant Recipients' Views on AI in Medicine — Patient Perspectives to Shape Future Care

References

1. 1.Blease, C., Kaptchuk, T. J., Bernstein, M. H., Mandl, K. D., Halamka, J. D., & DesRoches, C. M. (2019). Artificial intelligence and the future of primary care: exploratory qualitative study of UK general practitioners' views. Journal of Medical Internet Research, 21(3), e12802. https://doi.org/10.2196/12802
2. 2.Hart, A., Smith, J. M., Skeans, M. A., Gustafson, S. K., Wilk, A. R., Castro, S., ... & Kasiske, B. L. (2023). OPTN/SRTR 2021 Annual Data Report: Kidney. American Journal of Transplantation, 23(2), 21-136. https://doi.org/10.1016/j.ajt.2023.02.004
3. 3.Longoni, C., Bonezzi, A., & Morewedge, C. K. (2019). Resistance to medical artificial intelligence. Journal of Consumer Research, 46(4), 629-650. https://doi.org/10.1093/jcr/ucz013
4. 4.Paris Translational Research Center for Organ Transplantation. (2024). Perceptions of Kidney Transplant Recipients Regarding the Role of Artificial Intelligence in Medicine. ClinicalTrials.gov. NCT07600541. https://clinicaltrials.gov/study/NCT07600541
5. 5.Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347-1358. https://doi.org/10.1056/NEJMra1814259
6. 6.Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. https://doi.org/10.1038/s41591-018-0300-7
7. 7.Wolff, J., Pauling, J., Keck, A., & Baumbach, J. (2020). The economic impact of artificial intelligence in health care: systematic review. Journal of Medical Internet Research, 22(2), e16866. https://doi.org/10.2196/16866