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Mendel’s AI deciphers clinical data with clinician-like logic. It indexes structured and unstructured data and replaces the complexity of querying with the simplicity of chatting.
Mendel delivers a fully integrated AI suite of clinical-specific data processing products. We bring together industry-leading OCR, de-identification, and clinical reasoning to interpret medical records.
Our clinical AI understands health data like an expert, so you can ask your questions in plain English and get accurate answers from health records in seconds.
Triple negative ductal carcinoma is incompatible with positive ER, PR, and HER-2 results, so all of them in the same medical record can't refer to the same cancer. Clinical experts know this, but today's AI fails to interpret "what was meant to be said" and sticks to tagging.
What happens when the doctor’s progress note says the patient has stage 1 cancer, but the pathology report refers to a metastatic tumor? We go beyond reading a page to understanding a full patient journey.
In healthcare, consistency and explainability of results are table stakes. Standard LLMs offer neither. Mendel’s ability to reason over health data fixes that.
We invested 5 years and millions in R&D before launching our first model. Rather than tuning a generic AI system, we built an ontology from the ground up, created a proprietary knowledge graph, and trained machine learning on real medical records labeled by physicians.
Mendel’s hybrid model combining symbolic clinical reasoning models with LLMs significantly improves interpretation of electronic medical records.
Using Mendel led to a 50% increase in patients correctly identified as eligible for a low-enrolling oncology trial.
