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Components

Image Quality​

Image quality measures how well an image meets analysis requirements. It helps mitigate the risk of unsuitable images and may prompt users to retake images if necessary.

Thresholds​

Thresholds for image quality depend on organizational policies and use cases. Based on validation data, the following thresholds are suggested:

FromToOutcomeColour
120Bad🔴
2140Poor🟠
4160Fair🟡
6180Good🟢
81100Excellent🟢

Location in the Device Output​

Image quality is found in the imagingAnalysis key:

Image Quality
{
  "imagingAnalysis": {
    "mediaValidity": {
      "quality": {
        "score": 0
      }
    }
  }
}

For multiple images, use the arithmetic average of the scores.

Images​

Images are a critical part of the report, providing a quick overview of the patient's condition.

Original Image​

The original image is displayed exactly as submitted by the user.

Original image

Image with Annotations​

Annotated images highlight areas of interest, aiding dermatologists in their assessments.

Annotated image

Top-5 Predictions​

The top-5 predictions provide a quick overview of the most likely diagnoses, helping HCPs make informed decisions.

Top-5 probabilities

Select a condition

The algorithm has detected the following conditions.

  • Condition A
    67.51%
  • Condition B
    26.24%
  • Condition C
    1.19%
  • Condition D
    0.99%
  • Condition E
    0.53%
Visual representation in a bar chart

Select other condition

Location in the Device Output​

Predictions are located in the conclusions key:

Top-5 Predictions
{
  "conclusions": [
    {
      // 1st condition
    },
    {
      // 2nd condition
    }
    // ...
  ]
}

Entropy​

Entropy measures prediction uncertainty, helping HCPs evaluate the reliability of results.

Entropy
🚩

The normalized entropy value is high (69%), meaning the algorithm has low certainty about its analysis. Please keep this in mind when interpreting the results.

Thresholds​

Suggested thresholds for entropy:

FromToEntropy ValueCertaintyColour
020Very LowVery High🟢
2140LowHigh🟢
4160ModerateModerate🟡
6180HighLow🟠
81100Very HighVery Low🔴

Entropy is located in the performanceIndicator key:

Entropy
[
  {
    "performanceIndicator": {
      "entropy": 0
    }
  }
]

Referral​

Referral information helps HCPs determine the urgency of a case.

Referral
  • High-priority referral (15 days)Low (5.82%)That is, there is a low probability that the patient will need care in the next 15 days.
  • Urgent referral (48 hours)
    High (35.07%)
    That is, there is a high probability that the patient will need care in the next 48 hours.
    Create Dermatology Referral ➤

Thresholds​

Suggested thresholds for referral:

FromToActionColour
015Low🟢
1630Moderate🟠
31100High🔴

Referral data is found in the clinicalIndicator key:

Referral
[
  {
    "clinicalIndicator": {
      "highPriorityReferral": 0,
      "urgentReferral": 0
    }
  }
]

Malignancy​

Malignancy risk information aids dermatologists in assessing lesion risks.

Malignancy suspicion

Suspicion of malignancy

62%

Predicted by the algorithm

Thresholds​

Suggested thresholds for malignancy:

FromToActionColour
015Low🟢
1630Moderate🟠
31100High🔴

Severity​

Severity measures the extent of skin lesion involvement, often using scoring systems like PASI.

The severity score data is found in the patientEvolution key, inside the relevant scoring system:

Score​

Severity scores can be displayed as numbers or on a color-coded scale. The score is specific to each scoring system. However, the interpretation key is a normalised representation of the score.

Severity Score
[
  {
    "patientEvolution": {
      "apasi": {
        "score": {
          "value": 25,
          "interpretation": {
            "category": "Mild",
            "intensity": 2
          } // ...
        } // ...
      }
      // other scoring systems
    }
  }
]
intensitycategoryColour
0None-
1Mild🟢
2Moderate🟠
3Severe🔴

With this information, organisation may show the data in a gauge component that displays the score, and a colour-coded representation of the intensity.

Severity gauge

Severity Score

Automatic Psoriasis Area and Severity Index

Mild

Intensity of Clinical Signs​

As well as the final score, it may be relevant to also display the intensity of the clinical signs that comprise the scoring systems.

The score is based on the evaluation of individual clinical signs. Each sign contributes to the overall severity score. The literature refers to the clinical signs as items, since they are the unit of the scoring system.

Clinical signs
[
  {
    "item": {
      "desquamation": {
        "code": {
          "coding": [
            {
              "system": null,
              "systemDisplay": "Legit.Health",
              "version": null,
              "code": "desquamation",
              "display": null
            }
          ],
          "text": "Desquamation"
        },
        "value": 2,
        "additionalData": {
          "aiConfidence": {
            "code": {
              "coding": [
                {
                  "system": null,
                  "systemDisplay": "Legit.Health",
                  "version": null,
                  "code": "aiConfidence",
                  "display": null
                }
              ],
              "text": "Confidence of the AI model on prediction"
            },
            "value": 99.02681708
          }
        }
      },
      "erythema": {
        "code": {
          "coding": [
            {
              "system": null,
              "systemDisplay": "Legit.Health",
              "version": null,
              "code": "erythema",
              "display": null
            }
          ],
          "text": "Erythema"
        },
        "value": 2,
        "additionalData": {
          "aiConfidence": {
            "code": {
              "coding": [
                {
                  "system": null,
                  "systemDisplay": "Legit.Health",
                  "version": null,
                  "code": "aiConfidence",
                  "display": null
                }
              ],
              "text": "Confidence of the AI model on prediction"
            },
            "value": 99.92347956
          }
        }
      }
      // more items
    }
  }
]

Individual clinical signs can be shown in a table:

Intensity of clinical signs

Desquamation

Moderate (2)

Erythema

Moderate (2)

Induration

Mild (1)

Affected area

30% (2)

Evolution of Severity​

Severity evolution over time is typically displayed in charts to help dermatologists track changes.

Evolution

Severity
(PASI)

80604020025 oct 2021

Time

Metadata​

Metadata provides context for the report, including image quality, modality, and processing time.

Metadata

Report information

Information about the report.

  • TimestampFeb 01, 2024, 10:06 PM
  • Analysis performed in0.65 seconds
  • Image modalityDermatoscopic
  • Visual image quality82%
  • Sensitivity92.22%
  • Specificity89.88%
  • Visual Image Quality: Focus, lighting, resolution, etc.
  • Image Modality: Type of image (e.g., dermoscopy).
  • Analysis Time: Time taken to process the image.
  • Sensitivity: Probability of a positive result for sick patients.
  • Specificity: Probability of a negative result for healthy patients.

Quick Insights​

Quick insights summarize key information for HCPs, enabling rapid decision-making.

Quick insights

The pathology Nevus has a probability of around 67.51%. The suspicion of malignancy is 26.46%.

Insights

  • Refer to specialistMeets referral criteria
  • Condition AIt could also be Condition B.
  • Probably malignant or pre-malignant62% suspected malignancy