Identify macular health
using AI
Below is a free classifier to identify macular health. Just upload your image, and our AI will predict the health status of macular conditions. - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("macular-health", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/macular-health/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/macular-health/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the health status of macular conditions..
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Advanced Damage, Degenerative Change, Deteriorating Condition, Dry Macular Degeneration, Early Damage, Fluctuating Condition, Healthy, Macular Edema, Macular Hole and Moderate Damage.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the health status of macular conditions.).
Whether you're just curious or building macular health detection into your application, we hope our classifier proves helpful.
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Need to identify macular health at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Preventive Screening: The 'macular health' identifier can be employed in health check-ups to screen patients for early signs of macular degeneration. This tool can aid ophthalmologists in identifying at-risk patients, allowing for timely intervention and management.
- Patient Monitoring: Eye care clinics can integrate the macular health identifier into their patient monitoring systems. This will enable continuous tracking of patients' eye health status, capturing any changes that may require further examination or treatment.
- Telemedicine Consultations: With the rise of telemedicine, this identifier can facilitate virtual consultations focused on macular health. Remote evaluations can be enhanced by automatically analyzing patients' retinal images for signs of deterioration, offering more accurate diagnostic support.
- Personalized Treatment Plans: The macular health identifier can help in developing tailored treatment plans for patients based on their classification results. This personalized approach enables healthcare providers to align therapies with individual patient risks and health profiles.
- Research and Development: This function can be utilized in clinical trials concerning macular conditions to classify participant data quickly. Researchers can identify patterns and outcomes more effectively, helping in the development of new treatments and therapies.
- Health Education Programs: Organizations focused on eye health can implement the macular health identifier in educational materials. It can be used to demonstrate the importance of regular eye exams and screening to patients, empowering them to take control of their macular health.
- Insurance Assessment: Insurance companies can leverage the macular health identifier in underwriting processes to evaluate the risk associated with potential clients. By incorporating this tool, insurers can make more informed decisions about coverage options and premium pricing related to ocular health.