MACHINE LEARNING
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ER VOLUME
Prediction Model
Developing, implementing, and prospectively evaluating a model that accurately forecasts emergency department volumes.
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HYPOGLYCEMIA
Prediction Model
Predicting the risk of hypoglycaemia using machine-learning techniques in hospitalized patients.
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DIALYSIS
Prediction Model
Developing a model to predict volume of acute dialysis procedures to optimize nursing resources. Currently in progress.
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IMAGING
Prediction Models
Federated learning was used to read chest x-rays and incorporate clinical data to predict death among patients with COVID-19.
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REWARD AI
Prediction Model
In this ongoing project, we are building a model to identify hospitalized patients with yet to be diagnosed rare diseases.
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TRIAL FILES
We use large language models to summarize practice-changing randomized clinical trials identified on MEDLINE using PaperScrape (a software tool built by our lab).