OpenMed/OpenMed NER GenomeDetect ModernMed 395M

Entity recognition model for medical and genomic data

EmergingOpen SourceLow lock-in
Visit Website ↗Compare ⇄

Pricing

Free tier

Flat rate

Adoption

→Stable

License

Open Source

Data freshness

Unverified

Overview

What is OpenMed/OpenMed NER GenomeDetect ModernMed 395M?

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.

Key differentiator

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

Capability profile

Capability Radar

Ease of StartEcosystemValueMaturityFlexibilityScale Ready

Honest assessment

Strengths & Weaknesses

↑ Strengths

Specialized for medical and genomic text analysismedium

High accuracy in named entity recognition tasksmedium

Trained on modern medical datasetsmedium

↓ Weaknesses

Limited language support beyond English medical textshigh

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

Complex setup process for non-expert usersmedium

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

Performance degradation on large-scale datasetshigh

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

Documentation lacks detailed examples for specific use casesmedium

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

Fit analysis

Who is it for?

✓ Best 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

✕ Not a fit for

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

Cost structure

Pricing

Free Tier

Available

Open source — free to use

Starts at

$0

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Works well with

Apache cTAKES

Next step

Get Started with OpenMed/OpenMed NER GenomeDetect ModernMed 395M

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →