Applying artificial intelligence to medical imaging for cardiovascular disease detection
Parmida is a software engineer and biomedical scientist whose research focuses on translating novel medical imaging technologies into clinical practice to improve the diagnosis and management of cardiovascular disease.
Her current work applies advanced deep learning techniques to retinal polarization-sensitive optical coherence tomography (PS-OCT) imaging, aiming to generate clinically meaningful biomarkers and predictions of cardiovascular disease. Parmida’s collaboration partners include Fiona Stanley Hospital in Murdoch, Western Australia.