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ALUDWIG

info
All the items of this scoring system can be extracted automatically from the image. Thanks to this, you don't need to provide the questionnaireResponse.

What is ALUDWIG?​

ALUDWIG, short for Automatic Ludwig, is the automated implementation of the Ludwig scale for assessing female pattern hair loss, specifically androgenetic alopecia. It uses artificial intelligence algorithms to determine the stage of hair loss, from stage I to stage III.

Body site​

To initiate the ALUDWIG assessment, a single photograph of the head's top region (HEAD_TOP) is required.

How to take pictures​

Image quality affects algorithm performance. A guide with essential tips for image acquisition is available. This section is dedicated to the photo capture process for ALUDWIG computation.

How does ALUDWIG work?​

ALUDWIG uses convolutional neural networks (CNNs) trained on a dataset comprising thousands of images annotated by experts. The algorithm quantifies both low and high hair density and computes a percentage of hair loss. This percentage corresponds to a grade on the Ludwig scale.

Request ALUDWIG score​

Relevant keys in the body of the request
{
  "requestId": "90925097-820b-403d-a75d-4cd989903df1",
  "data": {
    "type": "image",
    "modality": "clinical",
    "operator": "Practitioner",
    "bodySite": "HEAD_TOP",
    "knownConditionForThisImage": {
      "conclusion": "Androgenetic alopecia"
    },
    "subject": {
      "identifier": "6ec724a0-6fa3-11eb-a15f-0242ac160004",
      "gender": "f",
      "height": 156,
      "weight": 56,
      "birthdate": "1995-04-24",
      "generalPractitioner": {
        "identifier": "44f89a8c-654d-11eb-9c8a-0242ac160004"
      },
      "managingOrganization": {
        "identifier": "b13cd636-327b-11ec-86b0-0242ac180004",
        "display": "Hospital Central"
      }
    },
    "scoringSystems": ["ALUDWIG", "DLQI"],
    "questionnaireResponse": {
      "DLQI": {
        "question1": 2,
        "question2": 3,
        "question3": 1,
        "question4": 2,
        "question5": 1,
        "question6": 2,
        "question7": 2,
        "question8": 2,
        "question9": 3,
        "question10": 2
      }
    },
    "content": "base64 image"
  }
}
Check out the documentation
It is important that you check out the section Output of this documentation to understand how you should build the request and what will the response look like. Keep in mind that this is a snippet of a larger JSON file.

The bodySite must be specified as HEAD_TOP.

Response​

Relevant keys in the body of the response
"evolution": {
  "domains": {
    "ALUDWIG": {
      "explainabilityMedia": {
        "content": "base 64 image",
        "detections": null
      },
      "facets": {
        "alopecia": {
          "intensity": 40,
          "value": 40
        }
      },
      "grade": {
        "category": "Grade III",
        "score": 40
      }
    }
  }
}
Check out the documentation
It is important that you check out the section Output of this documentation to understand how you should build the request and what will the response look like. Keep in mind that this is a snippet of a larger JSON file.