MACHINE LEARNING

  • ER VOLUME

    Prediction Model

    Developing, implementing, and prospectively evaluating a model that accurately forecasts emergency department volumes.

    Am J Emerg Med, 2020

  • HYPOGLYCEMIA

    Prediction Model

    Predicting the risk of hypoglycaemia using machine-learning techniques in hospitalized patients.

    Diabetes Obes Metab, 2021

    Intern Emerg Med, 2022

  • DIALYSIS

    Prediction Model

    Developing a model to predict volume of acute dialysis procedures to optimize nursing resources. Currently in progress.

  • IMAGING

    Prediction Models

    Federated learning was used to read chest x-rays and incorporate clinical data to predict death among patients with COVID-19.

    Nature Medicine, 2021

  • REWARD AI

    Prediction Model

    In this ongoing project, we are building a model to identify hospitalized patients with yet to be diagnosed rare diseases.

  • 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).

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