AI-Enabled Solutions, Explainability and Ethical Concerns for Predicting Sepsis in ICUs: A Systematic ReviewAlexandropoulou, C.-A., Panagiotopoulos, I., Kleanthous, S., Dimitrakopoulos, G., Constantinou, I., Politi, E., Ntalaperas, D., Papageorgiou, X., Stylianides, C., Ioannides, N., Palazis, L., Pattichis, C. S., & Panayides, A. S. (2023). Ai-enabled solutions, explainability and ethical concerns for predicting sepsis in icus: A systematic review: 2023 ieee 19th international conference on e-science (e-science), e-science (e-science), 2023 ieee 19th international conference on. 2023 IEEE 19th International Conference on E-Science (e-Science), e-Science (e-Science), 2023 IEEE 19th International Conference On, 1–9. https://doi.org/10.1109/e-Science58273.2023.10254863
The authors discussed that advances in artificial intelligence (AI) are pushing the boundaries across research domains, with AI-driven solutions in healthcare claiming a significant share. A key objective of these studies concerns the timely prediction of various pathological conditions.