Study of causal relationship between lifestyle and disease demographic with chest X-Ray imaging features in healthy patients
Aim 1: Utilize automated computer vision algorithms to extract common cardiac and aortic measurements from chest X-ray images obtained from different patient age groups and those with chronic diseases.
Aim 2: Employ causal inference techniques to identify confounding factors, considering both lifestyle choices and disease history of patients, in relation to chest X-ray features.
Aim 3: Establish normal and abnormal ranges of chest X-ray measurements in healthy aging patients who have no history or future development of heart diseases such as heart attacks and strokes. This will enable better identification of potential abnormalities and aid in early detection of related conditions.
Dr Mike Du, NDORMS Oxford
Debajyoti Chowdhurry, Baptist University of Hong Kong