Identify gender of doctor
using AI
Below is a free classifier to identify gender of doctor. Just upload your image, and our AI will predict if the doctor is male or female - 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("gender-of-doctor", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/gender-of-doctor/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/gender-of-doctor/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the doctor is male or female.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female Doctor and Male Doctor.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the doctor is male or female).
Whether you're just curious or building gender of doctor detection into your application, we hope our classifier proves helpful.
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Need to identify gender of doctor at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Patient Demographics Reporting: The gender of the doctor identifier can be integrated into healthcare analytics platforms to track and analyze demographic data. This can help healthcare organizations understand patient-provider gender ratios, leading to more tailored marketing and outreach strategies.
- Diversity Training Programs: Medical institutions can use the gender identification feature to assess and enhance their diversity initiatives. By analyzing gender representation among doctors, the institution can identify underrepresented groups and develop targeted training programs.
- Patient-Matched Care: Healthcare providers can use the gender identifier to match patients with doctors of specific genders based on patient preferences. This can improve patient satisfaction and comfort during consultations, leading to more effective care.
- Resource Allocation: Hospitals can employ the gender identification function to analyze the distribution of male and female doctors across various departments. This information can then drive decisions on resource allocation, ensuring balanced gender representation in medical teams.
- Quality of Care Studies: Research institutions can utilize the gender identification data to evaluate the quality of care provided by male versus female doctors. This can contribute to studies on any potential biases in healthcare delivery and outcomes.
- Marketing Strategies: Healthcare marketing teams can implement the gender identifier to craft targeted campaigns aimed at specific demographics. For instance, campaigns encouraging female patients to see female doctors can be designed to foster comfort and trust.
- Clinical Trials and Studies: Pharmaceutical companies can use the gender identifier to ensure balanced representation in clinical trials. Analyzing outcomes based on gender can provide insight into how treatments perform across different patient demographics, leading to better healthcare solutions.