There is a general understanding of the epidemiological factors that predispose patients to the more severe state of COVID-19, however, there is limited knowledge about the patient phenotype that is more likely to develop a highly symptomatic course. Our group leverages AI and computational image to answer questions in chronic lung injury. This project aims at doing deep phenotyping of lung chest CT scans and chest X-Rays to define susceptibility traits using machine learning. The candidate will work within a group with expertise on the development of the application of AI techniques and imaging to investigate clinical associations of lung injury.
The candidate will gain basic knowledge of machine learning and artificial intelligence applied to medical imaging. The candidate will be involved in creating the database and developing machine learning tools to discover imaging signatures related to COVID-19 susceptibility using data collected at the teaching hospital institutions during the pandemic. The candidate will interact directly with the PI of the project. The location of this research project will be the Applied Chest Imaging Laboratory space at 1249 Boylston St.