This project centers around creating a large dataset of mammograms with ground truth labels extracted from radiology and pathology reports.
Machine learning for inferencing of Hepatocellular Carcinoma (HCC) risk score from medical imaging
Collaborative project with Stanford University and UCSF.
Neurofibromatosis Type I AI assisted reporting
Use machine learning to aid reporting of neurofibromatosis 1 MRI images.
ML project for Covid-19
We are currently working on multiple ML project for managing the COVID-19 crisis. We developed EMR based fusion AI models to predict if a COVID-19 patient will need hospitalization within 7 days of the RT-PCR test. Compare to the existing Covid-19 pred…
AI model development
for breast cancer
treatment and outcome
We are developing state-of-the-art deep learning models using mammogram imaging and clinical data. BAC auto segmentation — using deep learningLongitudinal quantification of BAC in 5 patients.Developed deep learning method for segmenting and quantifyin…
ACR DSI Lab pilot site
Emory is one of the 7 pilot sites for the American College of Radiology AI Lab to work on federated learning. This is to help improve robustness of machine learning models by improving training across different institutions using heterogeneous datasets
Prediction of clinical events using National Trauma Data Bank (NTDB)
The National Trauma Data Bank (NTDB) is a large repository that encompasses a wide variety of traumatic injuries, interventions, and outcomes that can be leveraged to build machine learning models. The NTDB is compiled annually by the American College…