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Updated: Feb 7, 2026
08:16
Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
7.3K
Deep Tissue Sequencing Using Hypodermoscopy and Augmented Intelligence to Analyze Atypical Pigmented Lesions.
Iman Khodadad1, Javad Shafiee1, Alexander Wong1,2
11 Elucid Labs, Waterloo, ON, Canada.
Journal of Cutaneous Medicine and Surgery
|August 2, 2018
Summary
An augmented intelligence system (AID) showed 82% sensitivity and 61% specificity in assessing atypical pigmented lesions. Further validation is needed to confirm its clinical usefulness in diagnosing skin cancer.
Area of Science:
- Dermatology
- Artificial Intelligence
- Medical Imaging
Background:
- Advanced technologies aid in diagnosing cutaneous melanocytic lesions.
- Augmented intelligence systems offer new diagnostic tools.
Purpose of the Study:
- To evaluate the performance of an augmented intelligence system in assessing atypical pigmented lesions.
- To determine the diagnostic accuracy of an AI system for skin lesions.
Main Methods:
- Nine atypical pigmented lesions were evaluated using an Augmented Intelligence Dermal Imager (AID) before surgical removal.
- AID assessment parameters were compared with final histopathological diagnoses.
Main Results:
- The AID demonstrated a sensitivity of 82% and specificity of 61% for atypical pigmented lesions.
- The system utilizes dermoscopy, hypodermoscopy, and a trained algorithm to generate a diffusion map for malignancy risk assessment.
Conclusions:
- Early clinical assessments of the AID show potential but require further validation.
- The AID's malignancy risk factor may assist in justifying biopsies for atypical pigmented lesions.
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