CLAI

Our goal at CLAI is to integrate phenomenological theory and clinical knowledge with state-of-the-art machine learning, large language models, and agentic AI to build clinical AI that understands time, place, and the limits of its own data.

We focus on a Thinkin’ (i.e., specialized, time-aware, data-centric, interpretable, portable, and fair) AI where AI refers to Augmented Intelligence.

“The AMA House of Delegates uses the term augmented intelligence (AI) as a conceptualization of artificial intelligence that focuses on AI’s assistive role, emphasizing that its design enhances human intelligence rather than replaces it.” link