We at the HITI (Healthcare Innovations and Translational Informatics) lab pride ourselves in working collaboratively with multiple researchers to bring innovation into healthcare. Our broad themes of work are on datasets curation, testing of machine learning models, developing AI models for computer vision and natural language processing, and exploring fairness, explainability and bias of algorithms. With 6 core faculty in radiology , perception/psychology studies and computer science, we push the boundaries of our research work to ensure we support the AI ecosystem to grow and develop AI products that are clinically useful. For example, we are curating a large diverse mammographic dataset of 100,000 patients that has imaging, pathology and clinical outc