This article discusses the development and performance of an AI system, LiLNet, in distinguishing between six common types of focal liver lesions. The system…
Browsing: Clinical Settings
A recent study conducted by experts at Mount Sinai reveals the significant impact that AI-generated alerts can have in clinical settings. These alerts, based…
This article discusses the potential impact of predictive analytics on patient health outcomes and experience in clinical settings. Predictive analytics is a type of…
The article discusses the issue of diagnostic errors in the medical community and how artificial intelligence (AI) can potentially help improve diagnostic accuracy. Despite…
This Special Issue of Diagnostics focuses on the development and integration of Explainable Artificial Intelligence (XAI) into medical imaging. It invites contributions that address…