Research

Our vision is to deliver human-centered precision emergency care through rigorous science and trustworthy analytics. 

We aim to enhance diagnosis, improve efficiency, and foster a more humanistic approach to emergency care.

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Multicenter Clinical Trials & Datasets
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Clinical Decision Instruments

  • Development

  • Validation

  • Stability & Generalizability

  • Implementation

 

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Artificial Intelligence & Machine Learning

  • Computer Vision

  • Large Language Models

  • Predictability, Computability, Stability

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Fairness, Stability, and
Equitable Care

  • Human-centered Design

  • Bias Assesment

 

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Veridical Data Science

  • Collaboration with Dr. Bin Yu, UC Berkeley, author of vdsbook

 

 

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Mentorship

  • Develop the next generation of clinical researchers

    • UCSF Research Affiliate Program

    • Laboratory mentorship

Project Themes

  • Model Development & Optimization I Precision Clinical Prediction: Re-evaluating diagnostic strategies for injured children through algorithm optimization and fairness-aware modeling.
  • Foundation Models for Emergency Care: Leveraging time, context, and multimodal data to improve care for sick and injured children.
  • Medical Imaging & AI Computer Vision for Ultrasound: Developing and validating automated bleeding and landmark detection for Focused Assessment with Sonography for Trauma (FAST).
  • Clinician-in-the-Loop AI: Designing tools and feedback systems that center clinician expertise in AI development and validation.
  • Clinical Trials & Evaluation Computational Clinical Trials: Using contemporary technology to enhance how we design, run, and interpret clinical trials in emergency settings.
  • Implementation & Translation Human-Centered Design & Integration: Building and implementing tools that integrate seamlessly into clinical workflows.
  • Translational Acceleration: Moving academic innovations into real-world impact through the University of California network.