Data-centric AI for Healthcare and Medicine
The Tushar Lab is a newly established research group at the University of Arizona advancing data-centric AI for healthcare and medicine through data discovery, intelligent tools, and the integration of clinical, simulated, and synthetic datasets.
Department of Radiology and Imaging Sciences · University of Arizona
About the Lab
Our Mission
We are building a research program around a central question: how do we develop AI for healthcare and medicine that is trustworthy, rigorously evaluated, and grounded in clinical needs?
Our work combines data-centric AI, intelligent tools, and clinical, simulated, and synthetic data to move from data to discovery in ways that better support healthcare professionals, reduce workload, and strengthen reliability in practice.
As a newly established and growing lab, we welcome collaboration with researchers, students, and partners who share an interest in trustworthy, reproducible, and clinically grounded AI.
Recently Shared Data
✦ View All DataHAID
A curated dataset for health AI research and development, enabling training and evaluation of medical imaging models.
AI in Lung Health Detection and Classification Models
AI-driven models for lung health detection and classification, supporting early diagnosis and clinical decision-making.
