Identify chipped teeth
using AI
Below is a free classifier to identify chipped teeth. Just upload your image, and our AI will predict whether a tooth is chipped - 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.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("chipped-teeth-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/chipped-teeth-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/chipped-teeth-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict whether a tooth is chipped.
This pretrained image model uses a Nyckel-created dataset and has 3 labels, including Chipped and Not Chipped.
We'll also show a confidence score (the higher the number, the more confident the AI model is around whether a tooth is chipped).
Whether you're just curious or building chipped teeth detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify chipped teeth at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Dental Healthcare Analytics: Dental professionals can use the image classification function to automate patient intake processes, quickly identifying potential tooth damaged cases from x-rays and photographs for relevant follow-up actions.
- Insurance Claim Adjusting: Insurance companies can use this function to facilitate teeth damage claims. Images submitted by policy holders can be automatically categorized to expedite the claim review experience.
- Dental Product Development: Manufacturers of dental products, such as toothbrushes or toothpastes, could use this tool to measure the efficacy of their products based on customer-provided images over time.
- Dental Research Efforts: Researchers studying tooth health, mouth injuries or dental abnormalities can use this function to automate data collection, helping to categorize and analyze large image datasets more efficiently.
- Personal Dental Health Monitoring Apps: Oral hygiene applications can incorporate the function to monitor users' self-submitted images for evidence of teeth chipping, providing warnings or recommending professional consultation as necessary.
- Cosmetic Dental Services: Cosmetic dentistry practices can utilize this function to automatically categorize incoming client cases for better appointment scheduling, enabling more efficient handling of clients with or without tooth damage.
- Dental Education and Training: The function can be used in dental schools and training programs to better demonstrate and assess student competency in identifying and treating various types of tooth damage, by giving immediate and objective feedback.