Identify language of clinical trial protocol using AI

Below is a free classifier to identify language of clinical trial protocol. Just input your text, and our AI will predict the type and phase of a clinical trial protocol - in just seconds.

language of clinical trial protocol identifier

API Access


import nyckel

credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("language-of-clinical-trial-protocol", "your_text_here", credentials)
            

fetch('https://www.nyckel.com/v1/functions/language-of-clinical-trial-protocol/invoke', {
    method: 'POST',
    headers: {
        'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
        'Content-Type': 'application/json',
    },
    body: JSON.stringify(
        {"data": "your_text_here"}
    )
})
.then(response => response.json())
.then(data => console.log(data));
            

curl -X POST \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer YOUR_BEARER_TOKEN" \
    -d '{"data": "your_text_here"}' \
    https://www.nyckel.com/v1/functions/language-of-clinical-trial-protocol/invoke
            

How this classifier works

To start, input the text that you'd like analyzed. Our AI tool will then predict the type and phase of a clinical trial protocol.

This pretrained text model uses a Nyckel-created dataset and has 30 labels, including Arabic, Bulgarian, Czech, Dutch, English, Filipino, Finnish, French, German and Hebrew.

We'll also show a confidence score (the higher the number, the more confident the AI model is around the type and phase of a clinical trial protocol).

Whether you're just curious or building language of clinical trial protocol detection into your application, we hope our classifier proves helpful.

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Need to identify language of clinical trial protocol at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Protocol Language Standardization: This use case involves employing the language identifier to ensure that all clinical trial protocols adhere to a consistent language format. By standardizing the language, it becomes easier to compare and analyze data across multiple trials, ultimately improving transparency and collaboration in clinical research.

  • Automated Translation Identification: In multinational clinical trials, protocol documents are often created in multiple languages. The language identifier function can be used to automatically detect the original language of the protocol, facilitating accurate translations and ensuring that all stakeholders have access to the same quality of information.

  • Regulatory Compliance Monitoring: Regulatory bodies often require clinical trial documentation in specified languages. By implementing a language identifier, organizations can proactively monitor and ensure compliance with these regulations, reducing the risk of penalties and enhancing operational credibility.

  • Enhanced Document Retrieval: Clinical trial protocols are vast and may exist in various languages and formats. A language identifier can assist in retrieving documents by filtering results based on language, thus improving the efficiency of document management systems and saving time for researchers.

  • Targeted Audience Engagement: Identifying the language of a clinical trial protocol can help tailor communications and outreach strategies. This enables researchers to better engage with diverse participant populations by providing accessible information in their native languages, leading to increased enrollment and retention.

  • Machine Learning Model Training: The language identifier can be used as a preprocessing step for training machine learning models aimed at analyzing clinical trial data. By accurately classifying the language of protocols, researchers can build more robust models that account for linguistic nuances in the data.

  • Cross-Language Sentiment Analysis: The ability to identify the language of clinical trial protocols can aid in conducting cross-language sentiment analyses. This is particularly useful for understanding global perceptions and concerns regarding clinical trials, helping organizations address issues and improve their outreach efforts.

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