Publisher
Springer Science and Business Media LLC
Reference46 articles.
1. Aggarwal, N., Ahmed, M., Basu, S., Curtin, J. J., Evans, B. J., Matheny, M. E., Nundy, S., Sendak, M. P., Shachar, C., & Shah, R. U. (2020). Advancing artificial intelligence in health settings outside the hospital and clinic. NAM perspectives, 2020.
2. Ahmad, S., & Wasim, S. (2023). Prevent medical errors through artificial intelligence: A review. Saudi J Med Pharm Sci, 9(7), 419-423.
3. Alfieri, F., Ancona, A., Tripepi, G., Crosetto, D., Randazzo, V., Paviglianiti, A., Pasero, E., Vecchi, L., Cauda, V., & Fagugli, R. M. (2021). A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients. Journal of nephrology, 34(6), 1875-1886.
4. Alharbi, A. I., Gay, V., AlGhamdi, M. J., Alturki, R., & Alyamani, H. J. (2021). Towards an application helping to minimize medication error rate. Mobile Information Systems, 2021(1), 9221005.
5. Alowais, S. A., Alghamdi, S. S., Alsuhebany, N., Alqahtani, T., Alshaya, A. I., Almohareb, S. N., Aldairem, A., Alrashed, M., Bin Saleh, K., & Badreldin, H. A. (2023). Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC medical education, 23(1), 689.