Identify gender of physiotherapist using AI

Below is a free classifier to identify gender of physiotherapist. Just upload your image, and our AI will predict if the physiotherapist is male or female - in just seconds.

gender of physiotherapist identifier

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Get started

    import nyckel
    
    credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
    nyckel.invoke("gender-of-physiotherapist", "your_image_url", credentials)
                

    fetch('https://www.nyckel.com/v1/functions/gender-of-physiotherapist/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-physiotherapist/invoke
                

How this classifier works

To start, upload your image. Our AI tool will then predict if the physiotherapist is male or female.

This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Female Physiotherapist and Male Physiotherapist.

We'll also show a confidence score (the higher the number, the more confident the AI model is around if the physiotherapist is male or female).

Whether you're just curious or building gender of physiotherapist detection into your application, we hope our classifier proves helpful.

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Need to identify gender of physiotherapist at scale?

Get API or Zapier access to this classifier for free. It's perfect for:



  • Patient Matching: By identifying the gender of physiotherapists, clinics can match patients with practitioners based on preferences or needs. This can enhance patient comfort and improve satisfaction rates, fostering a more personalized healthcare experience.

  • Workforce Diversity Analysis: Organizations can use gender classification to analyze the gender diversity within their physiotherapy teams. This data can drive initiatives aimed at promoting a balanced workforce, allowing for better representation of the community they serve.

  • Marketing Strategy Development: Clinics can leverage gender data to tailor marketing campaigns targeted at specific demographics. Understanding the gender dynamics in physiotherapy can lead to more effective outreach and patient engagement strategies.

  • Resource Allocation: By analyzing the gender composition of physiotherapists, healthcare facilities can make informed decisions regarding staffing and resource allocation. This ensures that patient preferences regarding therapist gender are adequately met, maximizing service efficiency.

  • Training Program Design: Educational institutions can utilize gender classification data to assess the gender representation in physiotherapy training programs. This can inform the development of programs aimed at encouraging underrepresented genders to enter the profession.

  • Patient Outcome Analysis: Research institutions can study the impact of physiotherapist gender on patient outcomes and treatment efficacy. This could reveal insights that lead to enhanced training methods or tailored treatment plans for diverse patient groups.

  • Telehealth Consulting: In telehealth settings, identifying the gender of physiotherapists can help in pairing patients with virtual consultants that meet their gender preferences. This creates a comfortable environment for patients during their remote consultations.

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