About Me
- Assistant Professor in the Dept of Radiology and Nuclear Medicine
- Faculty at the University of Maryland-Institute for Health Computing (UM-IHC)
- Director of Innovation at the University of Maryland Medical Intelligent Imaging (UM2ii) Center
As a physician innovator, my current research interests include translating technologies into clinical patient benefit, with a focus on sustainable AI and global health/climate change impacts.
Projects
Sustainability & Climate Health
Explore radiology’s (+radiology AI’s) role in promoting sustainability within healthcare, to improve health outcomes.
Funding: In part by Johns Hopkins MACCHE and AAR CERRAF grants.
Relevant publications:
- PMID: 39189909 Optimal Large Language Model Characteristics to Balance Accuracy and Energy Use for Sustainable Medical Applications
- PMID: 38043630 Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel
- PMID: 38652030 Planetary Health and Radiology: Why We Should Care and What We Can Do
- PMID: 38072221 Economic and Environmental Costs of Cloud Technologies for Medical Imaging and Radiology Artificial Intelligence
Clinical/Translational Artificial Intelligence
Translate clinical AI tools & large language models (LLMs) for clinical use, focusing on patients & sociotechnical determinants of health.
Funding: In part by 2024-2025 UMMC Innovation Challenge.
Relevant publications:
- PMID: 37467871 Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health
- PMID: 37453602 Building Diversity, Equity, and Inclusion Within Radiology Artificial Intelligence: Representation Matters, From Data to the Workforce
- PMID: 35964688 Predicting Patient Demographics From Chest Radiographs With Deep Learning
- PMID: 38230901 General-Purpose Large Language Models Versus a Domain-Specific Natural Language Processing Tool for Label Extraction From Chest Radiograph Reports