Identify how many patients are visible
using AI
Below is a free classifier to identify how many patients are visible. Just upload your image, and our AI will predict how many patients are visible - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("how-many-patients-are-visible", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/how-many-patients-are-visible/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/how-many-patients-are-visible/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict how many patients are visible.
This pretrained image model uses a Nyckel-created dataset and has 12 labels, including 0, 1, 10, 10+, 2, 3, 4, 5, 6 and 7.
We'll also show a confidence score (the higher the number, the more confident the AI model is around how many patients are visible).
Whether you're just curious or building how many patients are visible detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify how many patients are visible at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Patient Volume Assessment: This function can be used in hospitals to assess the number of patients present in a specific area, such as emergency rooms or clinics. By analyzing incoming images, healthcare administrators can make informed staffing decisions and resource allocations based on real-time patient visibility.
- Waiting Room Management: In outpatient settings, this identifier can help determine how many patients are in waiting areas. By accurately understanding patient flow, healthcare providers can improve service efficiency and reduce waiting times for patients by optimizing appointment scheduling and staff deployment.
- Telemedicine Networking: For telehealth applications, this function can be employed to assess the number of patients presenting in a virtual waiting room. By gauging patient density, healthcare systems can manage online consultations more effectively, providing timely care to those in need.
- Public Health Monitoring: The identifier can be crucial for public health organizations to gauge the influx of patients showing up for vaccination drives or health check-ups. This allows agencies to prepare adequately in terms of kits, personnel, and briefings to ensure a smooth operation.
- Emergency Response Efficiency: In disaster response situations, quickly assessing how many patients are visible in triage areas enables emergency personnel to allocate resources where they're needed most. This function can enhance response strategies by adapting to fluctuating patient volumes during critical times.
- Facility Security Enhancements: The function can assist security teams at healthcare facilities by monitoring crowd sizes in sensitive areas. By identifying patient numbers, security can assess potential risks, ensuring safety without compromising patient care.
- Research and Analytics: In clinical settings, the identifier can serve as a valuable tool for researchers analyzing patient patterns. By tracking hourly or daily patient visibility, healthcare organizations can derive insights into peak visitation times, helping improve overall health service logistics and patient satisfaction.