Identify X-rays with Pneumonia using AI

Below is a free classifier to identify X-rays with Pneumonia. Just upload your image, and our AI will predict if the X-ray contains Pneumonia or not - in just seconds.

X-rays with Pneumonia 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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    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("pneumonia-x-rays-identifier", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/pneumonia-x-rays-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/pneumonia-x-rays-identifier/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the X-ray contains Pneumonia or not.

This pretrained image model uses the Pneumonia Dataset dataset and has 3 labels, including Covid, Normal, or Pneumonia.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the X-ray contains Pneumonia or not).

Whether you're just curious or building X-rays with Pneumonia detection into your application, we hope our classifier proves helpful.

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Need to identify X-rays with Pneumonia at scale?

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



  • Emergency departments: Quickly identify potential pneumonia cases from chest X-rays. Prioritize patients for immediate treatment and further diagnostic tests.

  • Primary care clinics: Screen patients with respiratory symptoms for pneumonia. Determine if antibiotics or hospitalization are necessary based on X-ray findings.

  • Pediatric practices: Detect pneumonia in children's chest X-rays early. Initiate prompt treatment to prevent complications in young patients.

  • Geriatric care facilities: Monitor elderly residents for signs of pneumonia on routine X-rays. Implement early interventions to reduce mortality rates in high-risk populations.

  • Telemedicine platforms: Analyze remotely submitted chest X-rays for pneumonia indicators. Provide preliminary diagnoses and guide patients on necessary follow-up care.

  • Rural health clinics: Assess X-rays for pneumonia in areas with limited specialist access. Make informed decisions about patient transfers to larger medical facilities.

  • Pharmaceutical research: Evaluate the effectiveness of pneumonia treatments in clinical trials. Track changes in X-ray appearances to measure drug efficacy over time.

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