AI in Healthcare refers to the application of artificial intelligence techniques to improve clinical decision making, patient care, and healthcare operations. It includes methods such as machine learning, computer vision, and natural language processing to analyze medical images, electronic health records, and genomic data. These systems support tasks such as diagnosis, treatment planning, drug discovery, and workflow optimization, enhancing efficiency, accuracy, and outcomes across healthcare settings.

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Beyond Explainability: How We Are Redefining Interpretability in AI

AI interpretability has long been the focus, but what if it’s only part of the story? New research introduces model semantics, a framework for understanding what AI systems truly represent and how their internal structures connect to real-world phenomena.