Identify lab result readability
using AI
Below is a free classifier to identify lab result readability. Just upload your image, and our AI will predict the readability of lab results across various categories - in just seconds.
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("lab-result-readability", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/lab-result-readability/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/lab-result-readability/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the readability of lab results across various categories.
This pretrained image model uses a Nyckel-created dataset and has 6 labels, including Clear, Illegible, Partially Clear, Somewhat Clear, Unreadable and Very Clear.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the readability of lab results across various categories).
Whether you're just curious or building lab result readability detection into your application, we hope our classifier proves helpful.
Need to identify lab result readability at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Laboratory Quality Assurance: This function can be used to assess the readability of lab results to ensure that they meet industry standards for clarity and accuracy. By identifying poorly presented results, laboratories can take corrective action to enhance communication with healthcare providers.
- Patient Education and Communication: Healthcare providers can utilize this function to improve the readability of lab results presented to patients. By ensuring results are easily understandable, patients can better grasp their health conditions and treatment options.
- AI-Powered Clinical Decision Support: Integrating this function into clinical decision support systems allows for automatic evaluation of lab result presentations. This ensures that medical practitioners receive clear and concise information, leading to informed decision-making.
- Compliance Monitoring: Regulatory bodies can leverage this function to monitor compliance with readability standards in lab results. This ensures that laboratories maintain high-quality reporting and fulfill legal obligations regarding patient information clarity.
- Enhancing Electronic Health Records (EHR): This function can improve the integration of lab results into EHR systems by ensuring they are presented in a standardized, readable format. A clear presentation helps healthcare professionals quickly interpret data and form accurate clinical insights.
- Training and Development: Laboratories can use this function to train staff on best practices for presenting lab results. By analyzing and correcting readability issues, organizations can enhance the skills of their employees in producing high-quality reports.
- Research and Development: The function can support research initiatives aimed at improving the communication of lab results in medical research studies. By ensuring clear readability, researchers can ensure accurate interpretation and better outcomes from their findings.