Identify broken fingers using AI

Below is a free classifier to identify broken fingers. Just upload your image, and our AI will predict whether the finger is broken or not - in just seconds.

broken fingers identifier

For informational purposes only. Nyckel is not offering official medical advice. Please always seek our professional assistance before making any healthcare decisions.

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("broken-finger-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/broken-finger-identifier/invoke', {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
            'Content-Type': 'application/json',
        },
        body: JSON.stringify(
            {"data": "your_image_url"}
        )
    })
    .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_image_url"}' \
        https://www.nyckel.com/v1/functions/broken-finger-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict whether the finger is broken or not.

This pretrained image model uses a Nyckel-created dataset and has 8 labels, including Broken and Bruised.

We'll also show a confidence score (the higher the number, the more confident the AI model is around whether the finger is broken or not).

Whether you're just curious or building broken fingers detection into your application, we hope our classifier proves helpful.

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Need to identify broken fingers at scale?

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



  • Medical Diagnosis Support: This feature can be used in healthcare businesses for aiding doctors in medical diagnosis. It could quickly identify potentially broken fingers from imaging results, providing a quick initial assessment for medical professionals.

  • Emergency Triage Tool: In emergency cases, this could be used as a first point of assessment. As patients come in, basic images of potential injuries could be taken and quickly analyzed, helping medical staff prioritize patients in a busy ER.

  • Insurance Claim Verification: Insurance companies could use the 'broken finger' identifier to verify claims related to broken fingers. This will aid in ensuring the validity of claims, thereby reducing the risk of fraudulent claims.

  • Workplace Safety Assessment: Companies with high risk environments such as construction sites can use this tool to assess the staff's hand safety. It can help identify potential injuries quickly, even if the employee didn't initially report it.

  • Telemedicine Consultations: This tool can be useful in conducting consultations virtually, enabling remote diagnosis of possible broken fingers. It increases the reach of healthcare professionals to remote locations.

  • Sports Training Centers: This function could be used in sports centers for instant assessment of any finger-related injuries suffered by the athletes during training or games.

  • Education and Training: This can be used in medical schools or training sessions to educate students about how to identify a broken finger. This tool will help them to learn quickly and efficiently by showing them real-life, practical examples.

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