Posts by Vineet Raghu, PhD
-
Q&A: AI Predicts 10-Year Risk of Heart Attack and Stroke from X-Ray Images
Michael Lu, MD, MPH, Vineet Raghu, PhD, and colleagues have developed a deep learning model that can predict the 10-year risk of death from a heart attack or stroke using a single chest X-ray.
-
AI Identifies Links Between Retinal Vascular Patterns and Risk of Cardiometabolic, Ocular Diseases
Measurements of retinal vascular density and branching, obtained from fundus photographs by convolutional neural networks at Massachusetts General Hospital, may be clinically useful as biomarkers of cardiometabolic disease severity and for predicting future risk of ocular diseases.
-
Artificial Intelligence Estimates Biological Age, Predicts Mortality From a Chest X-ray
Researchers at Massachusetts General Hospital demonstrated that "CXR-Age," a convolutional neural network, can estimate biological age from a chest X-ray image. This biological age was better than chronological age at predicting longevity.
-
Using Chest X-Rays, Artificial Intelligence Can Predict Risk of Lung Cancer
Massachusetts General Hospital researchers have reported a deep learning approach to identify high-risk smokers who should undergo lung cancer screening.
Biography
Vineet is an NIH T-32 postdoctoral research fellow in Cardiovascular Imaging at Massachusetts General Hospital and Harvard Medical School. He received his BS and PhD degrees in computer science from the University of Pittsburgh, where his doctoral thesis focused on algorithms to learn causal models from transcriptomic and clinical data to better understand the interaction between genomic pathways and clinical outcomes. Currently, Vineet’s research focuses on deep learning for clinical risk prediction from chest radiograph images. He is interested in developing models that leverage chest x-rays to improve risk stratification of cardiovascular disease and cancer, and in building tools to interpret what biological changes contribute to predicted risk. In the future, Vineet hopes to be an academic computer scientist studying how machine learning can improve clinical care and biomedical research.
Mass General Imaging
For over 100 years, the Department of Radiology at Massachusetts General Hospital has pioneered imaging technology to improve human health. Today, our researchers develop powerful new ways to diagnose and treat many diseases. From the lab to the clinic, our community of radiologists and researchers brings advances directly to our patients.