Identify toenail fungus
using AI
Below is a free classifier to identify toenail fungus. Just upload your image, and our AI will predict if there is toenail fungus - 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("toenail-fungus-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/toenail-fungus-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/toenail-fungus-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if there is toenail fungus.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Fungus and No Fungus.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if there is toenail fungus).
Whether you're just curious or building toenail fungus detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify toenail fungus at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Medical Diagnostic Support: Doctors or nurses could use this function as a support tool in diagnosing a potential toenail fungus infection. This would allow for more accurate and quicker first stage diagnosis, especially helpful in rural or understaffed clinics.
- Telemedicine Support: With the rising trend in telemedicine, the 'toenail fungus' identifier could be used by patients to check their symptoms at home before reaching out to healthcare professionals. This could reduce unnecessary appointments, saving time and resources.
- Monitoring Treatment Progress: The function can be used by patients or healthcare providers to monitor the progress of the toenail fungus treatment. Automating this process will allow for a more streamlined approach to assessing the effectiveness of treatments over time.
- Pharmacy Use: Pharmacies can use the function to assist customers in identifying whether they have a toenail fungus infection. This allows for pharmacies to provide better health advice and recommend appropriate over-the-counter treatments.
- Clinical Study Analysis: The 'toenail fungus' identifier can be used in clinical studies or research to swiftly and accurately analyze numerous cases of toenail fungus infections. This increases the effectiveness and speed of data collection, potentially accelerating research.
- Self-Care Products Marketing: Companies selling foot care or hygiene products can use this function as a promotional tool to allow potential customers to check the health of their toenails, increasing awareness and driving sales for treatments or prevention products.
- Integration with Health App: The toenail fungus identifier can be integrated into comprehensive health tracking apps, enabling users to keep track of their overall foot health among other health factors. This would contribute to the overall user-friendly and comprehensive nature of such apps.