Identify if suitable for medical waiting room
using AI
Below is a free classifier to identify if suitable for medical waiting room. Just upload your image, and our AI will predict if it's suitable for a medical waiting room - 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("if-suitable-for-medical-waiting-room-identifier", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-suitable-for-medical-waiting-room-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/if-suitable-for-medical-waiting-room-identifier/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if it's suitable for a medical waiting room.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Inappropriate and Waiting Room Appropriate.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it's suitable for a medical waiting room).
Whether you're just curious or building if suitable for medical waiting room detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify if suitable for medical waiting room at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Patient Comfort Assessment: This use case evaluates whether the images displayed in a medical waiting room contribute positively to patient comfort and relaxation. By identifying images that are soothing and appropriate for a healthcare setting, healthcare facilities can enhance the waiting experience, potentially reducing anxiety among patients.
- Content Compliance Monitoring: This function can ensure that all visual media displayed in waiting rooms adhere to medical and ethical standards. By classifying images as suitable or unsuitable, clinics can maintain a professional environment and avoid the accidental display of inappropriate content.
- Thematic Image Curation: Medical facilities can use this classification to curate themes for their waiting room decor. By identifying suitable images, they can create specific atmospheres, such as calming nature scenes or motivational healthcare imagery, thereby catering to the emotional needs of patients.
- Real-time Visual Feedback: The classification function can provide real-time assessments of images being proposed for digital displays in waiting rooms. This allows clinics to quickly vet and select images that best fit their intended patient demographic and atmosphere.
- Marketing Material Selection: Clinics can utilize this identification function to filter marketing materials and promotional images intended for patient education. Ensuring that only suitable images are used helps maintain a professional tone while providing relevant information to patients.
- Visitor Experience Enhancement: By ensuring that only suitable images are present in waiting rooms, healthcare facilities can improve overall visitor satisfaction. This use case focuses on using appropriate visual stimuli to create a more welcoming and less stressful environment, positively influencing patient perceptions of care.
- Patient Engagement through Interactive Displays: This function can identify suitable images for interactive displays that engage patients while they wait. By classifying and selecting images that are visually appealing and appropriate, facilities can enhance patient involvement in their healthcare journey.