Identify corneal thickness
using AI
Below is a free classifier to identify corneal thickness. Just upload your image, and our AI will predict the corneal thickness category it belongs to - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("corneal-thickness", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/corneal-thickness/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/corneal-thickness/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the corneal thickness category it belongs to.
This pretrained image model uses a Nyckel-created dataset and has 12 labels, including Above Average, Average, Below Average, Mildly Thick, Mildly Thin, Normal, Significantly Thick, Significantly Thin, Thick and Thin.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the corneal thickness category it belongs to).
Whether you're just curious or building corneal thickness detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify corneal thickness at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Ophthalmology Diagnostic Tool: The corneal thickness identifier can be integrated into ophthalmology clinics to aid in diagnosing various eye conditions such as keratoconus and glaucoma. By providing accurate measurements, it helps doctors make informed decisions regarding treatment options and patient management.
- Pre-operative Assessment: Surgeons can utilize the corneal thickness identifier to evaluate patients before executing refractive surgeries such as LASIK. Accurate measurements of corneal thickness are crucial for determining candidacy as well as minimizing postoperative complications, ensuring better surgical outcomes.
- Telemedicine Applications: This function can be implemented in telemedicine platforms, allowing remote consultations to assess patients' corneal health. Patients can report their corneal thickness data, enabling eye care professionals to monitor conditions without requiring in-person visits.
- Research and Development: The identifier can serve as a valuable tool in clinical trials and research studies focused on corneal conditions. Researchers can analyze data regarding corneal thickness across different populations to identify trends, risk factors, and the effectiveness of treatments.
- Patient Education: Eye care providers can use the corneal thickness identifier results to educate patients about their corneal health. By visually showing patients their corneal measurements and explaining their significance, it can enhance patient understanding and adherence to treatment plans.
- Insurance Underwriting: Insurance companies can leverage the corneal thickness identifier to better assess risks associated with eye health for underwriting policies. By understanding a patient's corneal thickness, insurers can set premiums more accurately based on potential future medical expenses.
- Custom Contact Lens Fitting: The corneal thickness identifier can assist optometrists in fitting custom contact lenses. Accurate corneal thickness measurements can lead to a better fit, improving comfort and efficacy, and ultimately enhancing the patient’s wearing experience.