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Disease detection

Find Disease Mentions In A Note.

An open-source biomedical NER model, fine-tuned specifically to recognize disease and condition mentions in clinical text — the kind of model that feeds structured problem lists and registries.

Model OpenMed DiseaseDetect TinyMed
Run time ~65 MB first run only
Text Type Confidence

Run the detection above to see the disease and condition mentions this model finds in your note. The model downloads once (~65 MB) and then runs entirely in your browser — the note never leaves your machine.

Case Studies

See how organizations are leveraging our AI solutions to scale.

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How Meridian Health Automated Clinical NER Processing case study
AI & ML Client: Meridian Health Systems

How Meridian Health Automated Clinical NER Processing

By implementing a customized, clinical named-entity recognition (NER) platform, Meridian Health Systems successfully automated the extraction of critical patient demographics, disease codes, and pharmacy data directly from raw clinical charts, dramatically scaling up operational efficiency.

95% Entity Extraction Accuracy 3x Faster Processing Speeds
Read Case Study
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Vervelo is a digital-health software partner blending deep clinical insight with world-class engineering to build tailored, secure, interoperable healthcare platforms.

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    On-demand scalability is always possible

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What services does Vervelo offer?

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Do you provide custom CRM solutions?

Yes, we design and develop fully custom CRM solutions tailored to your workflows.

Can these AI solutions run on our own infrastructure?

Yes. Every solution on this page is built to run inside your environment — on your machines, with your data staying where it is.

How long does a typical engagement take?

Most pilots go live in four to six weeks, with production rollout following once the results are validated against your data.

Do you fine-tune models on our data?

We do, where it earns its keep. Many of these solutions start from open models and are tuned against your domain data.

How do we get started?

Send us a note through the form above and we will set up a working session with the engineers who would build it.

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