Lumo Imaging

LumoTrack

LumoTrack AI Mole-Mapping

Traditional manual mole mapping represents one of the most time-intensive aspects of dermatological practice. Clinicians must manually compare side-by-side images from different time points while attempting to mentally track which lesion corresponds to which across visits.

This process may consume 30 minutes per patient for comprehensive mapping, yet still risks missing subtle but clinically significant changes. This inefficiency is more serious of an issue for a high-risk patient who has thousands of moles on the body.

“Utilizing state-of-the-art deep learning and agentic AI, LumoTrack automates lesion correspondence and trend analysis. It transforms a tedious, error-prone task into a precise, efficient workflow, freeing up valuable dermatologist time.”
LumoTrack is an AI-powered Clinical Decision Support Software that empowers healthcare professionals with sophisticated, fully automated mole mapping and temporal analysis capabilities.
As a software-only medical device designed to seamlessly integrate with LumoScanner, LumoTrack transforms total body photography data into actionable clinical insights through advanced analysis. LumoTrack consists of a Lesion Correspondence Analysis engine and a Lesion Trend Analysis engine.

Lesion Correspondence Analysis Engine

At the heart of LumoTrack’s capabilities lies its sophisticated Lesion Correspondence Analysis Engine. This powerful feature automatically identifies and tracks individual lesions across multiple scanning sessions, creating a comprehensive longitudinal record for each patient. The software employs advanced matching algorithms to establish lesion correspondence between current and historical scans, even accounting for natural body shape variations and minor skin changes that occur over time.

For example, when a patient returns for their 6-month follow-up appointment, LumoTrack instantly maps each current lesion to its corresponding appearance in previous scans, flagging any newly appeared lesions that warrant immediate clinical attention. This automated correspondence mapping eliminates the time-consuming manual comparison process, allowing dermatologists to focus on clinical assessment rather than administrative tasks.

The clinician will also have the opportunity to update the lesion correspondence. The system maintains accuracy even when dealing with challenging scenarios such as lesions in hair-bearing areas, curved body surfaces, or regions with multiple similar-appearing moles.

Lesion Trend Analysis Engine

LumoTrack’s Lesion Trend Analysis Engine monitors the evolution of individual lesions over time. The software identifies patterns and changes that might escape visual inspection based on common clinical criteria, including ABCD (asymmetry, border irregularity, color variations, and diameter) and 7-point checklist.

Given the feature analysis performed for each scan from LumoCrunch, the Lesion Trend Analysis Engine automatically calculates critical metrics such as size progression and border changes, presenting this information through intuitive visualizations that support rapid clinical assessment.

Consider a scenario where a dermatologist needs to monitor patients at high risk for melanoma. LumoTrack can be configured to automatically flag lesions that have grown by more than 20% in diameter since the last visit, exhibited asymmetric growth patterns, or developed irregular borders.

For instance, if a 4mm lesion has expanded to 5.2mm over six months while developing increased color variegation, the software immediately highlights this for clinical review. This proactive identification of concerning changes enables earlier intervention when treatment is most effective.

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