Area of research
Artificial Intelligence · Neurology
Research interest
Research interests include Machine Learning in Healthcare, Long-Term Effects of COVID-19, COVID-19 Clinical Research Studies, and Dementia and Cognitive Impairment Research.
A scoping review and evidence gap analysis of clinical AI fairness
Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory
From image to report: automating lung cancer screening interpretation and reporting with vision-language models
Predicting Alzheimer’s Disease Diagnosis, a Decade or more Years before Onset using the Electronic Health Record and Random Forest Machine Learning Models
Identification of risk factors of Long COVID and predictive modeling in the RECOVER EHR cohorts
Identification of Parkinson’s disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data
Real-World Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents
Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records
A translational perspective towards clinical AI fairness
High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data
Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes
Algorithmic fairness in computational medicine
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
Federated Learning for Healthcare Informatics
Brain damages in ketamine addicts as revealed by magnetic resonance imaging