Building Human-Centered AI Systems

LipoVena AI is a physician-centered clinical decision-support framework designed to support longitudinal assessment, treatment planning, and follow-up in lipedema and chronic venous disorders. The system brings together clinical examination, medical imaging, structured patient information, and longitudinal observations while keeping the physician at the center of clinical interpretation and decision-making.

The project explores how artificial intelligence can augment — rather than replace — clinical judgment by identifying meaningful patterns across multimodal and longitudinal patient data.

Ahoora MedPilot explores the use of generative AI as an intelligent assistant within everyday clinical workflows. The platform is designed to support physicians in structuring clinical encounters, organizing patient information, generating structured documentation, and reducing repetitive administrative workload while maintaining professional oversight.

The project investigates how large language models and intelligent assistants can be integrated into clinical environments in a practical, controlled, and human-supervised manner.

AIGRM is a socio-technical framework for evaluating organizational readiness for responsible AI adoption, particularly in small and medium-sized enterprises. It approaches AI governance not simply as a compliance exercise, but as an organizational capability involving strategy, decision transparency, human oversight, risk monitoring, and AI capability allocation.

AIGRM examines how organizations can move from experimental AI adoption toward accountable, resilient, and human-centered AI governance.