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OpenMed/OpenMed NER GenomeDetect ModernMed 395M

Entity recognition model for medical and genomic data

Status
Not yet determined
Last checked
Unverified
License
Open source
Pricing
Free tier · from $0
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What it is

A token-classification model designed to identify named entities in medical texts, including genome-related information. This model is part of the OpenMed suite and has been trained on modern medical datasets.

This model stands out due to its specialization in recognizing entities within medical and genomic texts, offering high accuracy tailored specifically for these domains.

When it fits — and when it doesn’t

A good fit for

  • Researchers analyzing large volumes of medical and genomic text for entity recognition

  • Healthcare organizations looking to automate the extraction of key information from clinical notes

  • Developers building applications that require precise named entity recognition in medical contexts

Look elsewhere if

  • Projects requiring real-time processing with strict latency requirements, as this model is designed for batch processing

  • Applications outside the healthcare domain where specialized medical and genomic knowledge is not required

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond English medical texts

    Model is trained on English datasets and may perform poorly with other languages

  2. 02

    Complex setup process for non-expert users

    Requires installation of specific Python packages, configuration of environment variables, and tuning of model parameters

  3. 03

    Performance degradation on large-scale datasets

    Model can become slow when processing extensive medical records or genomic data sets

  4. 04

    Documentation lacks detailed examples for specific use cases

    Current documentation focuses on general usage without providing comprehensive guides for specialized scenarios in genomics and modern medicine

What it does well

  • Specialized for medical and genomic text analysis

  • High accuracy in named entity recognition tasks

  • Trained on modern medical datasets

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up OpenMed/OpenMed NER GenomeDetect ModernMed 395M

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →