Clinically Actionable Explainable Artificial Intelligence: A Risk-Aware Framework for Translating Model Explanations into Medical Decisions
Explainable Artificial Intelligence is now widely used in the healthcare sector in order to increase transparency in AI prediction models which can be used for diagnosis, risk prediction, and decision-making. Although currently used explainability techniques can justify predictions, in most cases they do not effectivel...
Ankita Kurle, Rupali Jain, Kamal Kumar Sethi
· 0 citations