Area of research
Artificial Intelligence · Spectroscopy
Research interest
Research interests include Mass Spectrometry Techniques and Applications, Machine Learning in Healthcare, Artificial Intelligence in Healthcare and Education, and Topic Modeling.
Health system-scale language models are all-purpose prediction engines
Federated learning for predicting clinical outcomes in patients with COVID-19
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordings
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Automated deep-neural-network surveillance of cranial images for acute neurologic events
Natural Language–based Machine Learning Models for the Annotation of Clinical Radiology Reports