Area of research
Radiology, Nuclear Medicine and Imaging · Health Informatics
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Artificial Intelligence in Healthcare and Education, Hepatocellular Carcinoma Treatment and Prognosis, and Lung Cancer Diagnosis and Treatment.
RadSearch, a Semantic Search Model for Accurate Radiology Report Retrieval with Large Language Model Integration
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
Underrecognition and Suboptimal Quality of Care for Nonalcoholic Fatty Liver Disease Cirrhosis in Primary Care Patients with Diabetes Mellitus
Federated learning for predicting clinical outcomes in patients with COVID-19
AI MSK clinical applications: cartilage and osteoarthritis
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs
An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow
Domain specific word embeddings for natural language processing in radiology
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using <sup>18</sup>F-FDG PET of the Brain