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A lightweight clinical large language model (LLM) for cognitive decline detection from clinical notes. The project includes synthetic EHR data for rapid validation and experimentation. The paper wa…
A lightweight, no-install, GUI-based Python toolbox for detecting, measuring, and visualizing domain shift (data shift) across datasets — all running in your browser on Windows, macOS, or Linux.
A MATLAB-based domain adaptation toolbox for medical data analysis. It supports synthetic data generation for rapid validation and benchmarking, and includes a collection of popular, lightweight do…
Source code for our AMIA 2025 paper (oral): "A Clinically-Informed Framework for Evaluating Vision-Language Models in Radiology Report Generation: Taxonomy of Errors and Risk-Aware Metric"