Identify X-rays with Covid
using AI
Below is a free classifier to identify X-rays with Covid. Just upload your image, and our AI will predict if the X-ray contains Covid or not - in just seconds.
For informational purposes only. Nyckel is not offering official medical advice. Please always seek our professional assistance before making any healthcare decisions.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("covid-x-rays-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/covid-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/covid-x-rays-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the X-ray contains Covid or not.
This pretrained image model uses the Covid 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 Covid or not).
Whether you're just curious or building X-rays with Covid detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify X-rays with Covid at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Hospitals: Screen incoming patients for potential COVID-19 cases. Prioritize treatment and isolation for high-risk individuals.
- Radiology clinics: Analyze chest X-rays for signs of COVID-19 pneumonia. Support radiologists in managing high volumes of scans during outbreaks.
- Telemedicine services: Provide preliminary assessments of patient-submitted chest X-rays. Guide patients on next steps based on the likelihood of COVID-19 presence.
- Research institutions: Gather data on COVID-19 patterns in X-ray images. Contribute to ongoing studies on the disease's progression and variants.
- Mobile health units: Quickly assess X-rays in remote or underserved areas. Decide whether patients need transfer to larger medical facilities.
- Emergency medical services: Evaluate X-rays of patients before hospital admission. Prepare appropriate isolation protocols and treatment plans in advance.
- Occupational health services: Screen employees returning to work after COVID-19 exposure. Clear individuals for duty or recommend further medical evaluation.