Mendel AI

Mendel AI transforms unstructured clinical notes into structured data for research purposes. It's primarily used for clinical trial patient matching — automatically identifying eligible patients from EHR data based on complex inclusion/exclusion criteria. The system can parse doctor's notes, lab results, and imaging reports to extract relevant clinical variables. The platform is particularly strong at temporal reasoning — understanding when events happened relative to each other, which is critical for trial eligibility. For example, it can identify patients who had surgery followed by chemo within 6 months, even if that's buried in freeform notes. Accuracy is high for common data points but requires validation for complex scenarios. The system works best at large institutions with standardized documentation practices.