AUAS
Some items of this scoring system can be extracted automatically from the image. However, please read carefully the documentation because this system contains non-visual items such as itchiness or sleeplesness. Since this is the case, you will need to provide the questionnaireResponse of those items inside your request.
Request AUAS score
"data": {
"type": "image",
"content": "base64 image",
"knownConditionForThisImage": {
"conclusion": "Hives urticaria"
},
"scoringSystems": ["AUAS_LOCAL"],
"questionnaireResponse": {
"AUAS_LOCAL": {
"itchiness": 1
}
}
}
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.
Questionnaire for the scoring system
In the following snippet you will find the questionnaires related to each scoring system related to Hives urticaria. If you want the AI calculate one of them, you must get from that info from the patient or the practitioner.
[
{
"code": "AUAS_LOCAL",
"questions": [
{
"code": "itchiness",
"label": "Itchiness",
"description": null,
"answers": [
{ "label": "None", "value": "0" },
{ "label": "Mild", "value": "1" },
{ "label": "Moderate", "value": "2" },
{ "label": "Severe", "value": "3" }
],
"openField": false
}
]
}
]
Response
"evolution": {
"domains": {
"AUAS_LOCAL": {
"explainabilityMedia": {
"content": "base 64 image",
"detections": [
{
"confidence": 93,
"label": "Hive",
"p1": {
"x": 539,
"y": 266
},
"p2": {
"x": 604,
"y": 329
}
},
{
"confidence": 97,
"label": "Hive",
"p1": {
"x": 463,
"y": 135
},
"p2": {
"x": 561,
"y": 193
}
}
]
},
"facets": {
"hiveNumber": {
"intensity": 0,
"value": 0
},
"itchiness": {
"intensity": 1,
"value": 1
}
},
"grade": {
"category": "Mild",
"score": 1
}
},
}
}
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.