Detect Skin Disease API

Detect Skin Disease API

Predict skin disease classifications from natural skin images with our Detect Skin Disease API, providing accurate and reliable results.

The Detect Skin Disease API leverages advanced machine learning algorithms to classify and predict various skin diseases from natural skin images. Ideal for telemedicine, dermatology applications, and health platforms, this API offers a powerful tool for early detection and diagnosis. By analyzing input images, the API can identify and categorize a wide range of skin conditions, providing healthcare professionals and users with valuable insights into skin health. Enhance your medical applications, improve diagnostic accuracy, and streamline patient care with our high-performance, scalable, and easy-to-integrate API. The Detect Skin Disease API is designed to meet the rigorous demands of modern healthcare, ensuring accurate and reliable skin disease predictions.

API Documentation

Endpoints


Predict skin disease classifications from natural skin images with our Detect Skin Disease API, providing accurate and reliable results.



                                                                            
POST https://zylalabs.com/api/4440/detect+skin+disease+api/5453/detect+skin+disease
                                                                            
                                                                        

Detect Skin Disease - Endpoint Features
Object Description
Request Body [Required] File Binary
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
  "request_id":     "",
  "log_id":         "",
  "error_code":     0,
  "error_code_str": "",
  "error_msg":      "",
  "error_detail":   {
    "status_code":  200,
    "code":         "",
    "code_message": "",
    "message":      ""
  },
  "data":           {
    "body_part":       "",
    "image_quality":   "",
    "image_type":      "",
    "results_english": {
      "acne": 0
    }
  }
}
                                                                                                                                                                                                                    
                                                                                                    

Detect Skin Disease - CODE SNIPPETS


    curl --location 'https://zylalabs.com/api/4440/detect+skin+disease+api/5453/detect+skin+disease' \
    --header 'Content-Type: application/json' \ 
    --form 'image=@"FILE_PATH"'


API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Detect Skin Disease API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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The Detect Skin Disease API leverages advanced machine learning algorithms to classify and predict various skin diseases from natural skin images. Ideal for telemedicine, dermatology applications, and health platforms, this API offers a powerful tool for early detection and diagnosis. By analyzing input images, the API can identify and categorize a wide range of skin conditions, providing healthcare professionals and users with valuable insights into skin health. Enhance your medical applications, improve diagnostic accuracy, and streamline patient care with our high-performance, scalable, and easy-to-integrate API.

Medical Diagnosis: Assisting dermatologists and healthcare professionals in identifying and diagnosing various skin conditions. Telemedicine: Enabling remote consultations by allowing patients to upload images of skin abnormalities for analysis by medical professionals. Healthcare Apps: Integrating skin disease detection features into mobile health apps for self-assessment and early detection. Cosmetics Industry: Developing skincare products targeted towards specific skin conditions based on analysis of user skin images. Preventive Care: Facilitating early detection and intervention for skin diseases, leading to better outcomes and reduced healthcare costs.

Accuracy: Utilizes advanced algorithms to accurately identify and classify different skin diseases, aiding in precise diagnosis. Scalability: Can analyze large volumes of skin images efficiently, making it suitable for widespread use in telemedicine and public health initiatives. Cost-Effectiveness: Offers a cost-effective solution for skin disease detection compared to traditional methods such as biopsies or in-person consultations. Educational Resources: Provides educational resources and information about skin diseases, empowering individuals to take proactive steps towards their skin health.

Yes, we do have more detailed [API documentation](https://www.ailabtools.com/doc/ai-portrait/analysis/skin-disease-detection/api-marketplace) available. You can access it on our website or by contacting our support team for assistance.

Dermatologists and Healthcare Professionals: Professionals who specialize in diagnosing and treating skin conditions, seeking advanced tools to aid in accurate diagnosis. Patients and Caregivers: Individuals concerned about their skin health or that of their loved ones, seeking reliable and accessible tools for early detection and monitoring of skin diseases. Health-Tech Developers and Entrepreneurs: Innovators in the healthcare technology sector who are developing solutions for remote diagnosis, telemedicine, and personalized healthcare services.

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