Skin Cancer

Faster Assessments.
Earlier Insights.
Better Outcomes.

AITIS Skin Cancer is an AI-powered skin lesion assessment platform that assists healthcare professionals in analysing, documenting and monitoring skin lesions using standard smartphones, tablets and dermoscopes.

Designed for dermatologists, general practitioners, primary care providers, community healthcare organisations and research institutions, the platform provides rapid skin lesion assessment and risk analysis insights to support clinical decision-making and patient management.

How AITIS Skin Cancer Works

The AITIS Skin Cancer Platform uses advanced computer vision and machine learning algorithms to analyse skin lesion images captured using standard smartphones, tablets or compatible dermoscopes.

Within seconds, the platform provides clinically relevant insights to support skin lesion assessment and monitoring.

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Capture

Take an image of the skin lesion using a smartphone, tablet or dermoscope.

Analyse

The AI engine automatically evaluates the lesion, performs measurements and provides clinically relevant assessment insights.

Review

Request an optional Medical Expert Opinion directly through the platform when additional specialist review is required.

Monitor

Track lesion changes over time through longitudinal image comparison and patient history.

Medical Expert Opinion

Healthcare professionals can request an optional Medical Expert Opinion directly from within the platform.

When a case requires additional review, the lesion image, assessment data and supporting information can be securely submitted to a designated medical expert. The expert's clinical opinion is then returned through the platform and made available within the patient's record.

Developed Using
Real-World Clinical Data

Developed and evaluated using clinically sourced skin lesion images and designed to support consistent lesion assessment, monitoring and clinical decision-making.

The platform supports healthcare professionals by providing objective image-based insights while maintaining clinician oversight throughout the assessment process.