Research has found that AI tools perform better than doctors in some radiology imaging tasks. We believe that AI tools will expedite time-consuming diagnosis processes and improve accuracy in diagnosis for benefits of the patients.

We are collaborating with clinical radiologists and imaging technologists to develop AI methods and tools for various tasks. AI’s use in medical imaging includes data acquisition, data preprocessing, deep learning-based analysis and diagnosis algorithms, algorithmic tool validation, and clinical implementation for evaluation and receiving feedbacks. We are working with experts on various innovative AI tools for triage, diagnosis, and to improve clinical tools, as well as optimize radiology operations. For example:

• Computer-aided diagnosis (CAD) to help radiologists to classify early lung cancer
• Better classification of Covid-19 using CT scans and X-rays
• Improving CT scan image quality

 

Other Projects

AI/NLP for EHR Analytics

FDA AI Testbed

NIH AIM-AHEAD Program

AI/ML for Marine Atmospheric Boundary Layer Profiles via Satellite Remote Sensing Data Fusion

Intelligently Secured Distributed Solution

Networking with Human in the Loop

Cyberphysical Security Research for Biopharma Production and Personalized Medicine