This content applies to Device version: 1.1.0.0

User interface

This section describes the elements that can be displayed in the user interface (UI) of a report generated by the device.

Possible elements for the UI

Report metadata

This information can be displayed to all users who need to understand the context of the report. It contains basic information such as the time the report was created, the time the device took to process the image, the image modality and the image quality.

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%

Explanation

Visual image quality: Parameter that describes focus, lighting, resolution and other qualities that AI needs to function properly.
Image modality: The type of image that was used to create the report, such as dermoscopy, or clinical.
Analysis performed in: The time it took for the device to process the image and generate the report.
Sensitivity: Probability that a sick patient will have a positive result.
Specificity: Probability that a healthy patient will have a negative result.

Images

Since the image is the most important part of the report, it is typically displayed in a dashboard or a summary view for all users.

Original Image

The original image is typically displayed in a dashboard or a summary view for all users. It is usually the first thing that a user sees when they open a report. It is a good way to give the user a quick overview of the patient's skin lesion and help them understand the context of the report.

Original image

Image with annotations

The image with annotations as output from the device helps the dermatologist understand the location of the skin lesion and the areas of interest. It is typically displayed in a dashboard or a summary view for dermatologists. It is focused on helping the dermatologist make a decision about the possible diagnosis of a skin lesion. It also helps superimpose the predictions on the image.

Annotated image

Top-5 predictions

The top-5 predictions is typically displayed in a dashboard or a summary view for dermatologists. It is focused on helping the dermatologist make a decision about the possible diagnosis of a skin lesion.

Top-5 probabilities

Select a condition

The algorithm has detected the following conditions.

Visual representation in a bar chart

Select other condition

The rest of the classes that do not appear in the top-5 predictions can be found in the Select other condition button or a similar function. However, showing the top-5 predictions is a good way to give the dermatologist a quick overview of the most likely diagnoses.

Quick insights

This information is typically displayed in a dashboard or a summary view for primary care physicians who need to quickly understand the most important information in a report. It is focused on the most important information that a primary care physician needs to know to make a decision about the next steps in a patient's care.

Summary

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

Malignancy suspicion

This information helps dermatologists assess the risk of a lesion being malignant. It is typically displayed in a dashboard or a summary view for dermatologists. It is focused on helping the dermatologist make a decision about the possible diagnosis of a skin lesion.

Maligancy suspicion

Suspicion of malignancy

62%

Predicted by the algorithm

Evalution of the severity

This information helps dermatologists assess the severity of a lesion. It is typically displayed in a dashboard or a summary view for dermatologists. It is focused on helping the dermatologist make a decision about the possible treatment courses.

Example a of full DiagnosticReport

Here's an example of a report that combines various elements.

BodySite

Date of DiagnosticReport

Name of user