Client/Industry
A dermatology clinic and research center advancing vitiligo care through AI-powered imaging and standardized VASI score interpretation.
We built an automated vitiligo assessment platform using fingertip-based VASI (Vitiligo Area Scoring Index) score interpretation. An intelligent dermatology imaging solution that classifies skin conditions and reviews patient data with greater precision, all while reducing manual diagnostic work.
Connect With UsA dermatology clinic and research center advancing vitiligo care through AI-powered imaging and standardized VASI score interpretation.
Manual vitiligo assessments often result in inconsistent scoring, subjective evaluations, and time-intensive workflows. Hamzavi Dermatology, a leader in skin health research, identified these gaps as barriers to delivering consistent care at scale.
To address this, Hamzavi partnered with AkshatMedTech Digital Health to reconceive its vitiligo assessment workflow. We developed an AI-driven imaging platform that automated I-VASI score computation using fingertip units (FTU) through custom AI models and algorithms. It also achieved mm²-level accuracy and enabled asynchronous, remote evaluations. With black dot calibration, visual annotations, and a HIPAA-compliant dashboard, the solution bridged the gap between clinical accuracy and digital scalability.
Tracking the early signs of vitiligo and measuring depigmentation remains challenging due to outdated manual processes. Their clinical team relied on manual VASI scoring methods, which became unsustainable as patient volume and data demands grew.
Manual evaluations often varied across clinicians, making it hard to track treatment response over time.
Our solution transforms how clinicians assess and track the vitiligo skin condition. Below are the core features that power accurate, standardized, and real-time VASI score vitiligo evaluations.
The system segments vitiligo skin patches using K-Means clustering and pixel-level analysis. It accurately highlights the affected regions, even in the early signs of vitiligo, improving detection across different skin tones.
It reads the black dot sticker on the vitiligo skin image to calculate the pixel-to-meter ratio. This standardization supports consistent VASI score calculation across varying camera angles and lighting conditions.
The platform uses finger tip units (FTUs) as a consistent scale to interpret affected skin surface area. This approach helps dermatologists apply a uniform method for VASI score in vitiligo assessments.
It calculates the surface area in mm² for each body zone using dermatology-approved methods. This output provides a clear VASI score calculation example for objective tracking.
The system instantly computes the I-VASI score and presents the VASI score interpretation results visually. It supports both in-clinic and remote assessments.
The platform overlays VASI score on the segmented image of the vitiligo-affected skin. This makes the VASI score calculation output clear and easy to review for clinicians and researchers.
Clinicians can upload images securely and monitor immediate results. The dashboard ensures data privacy, supports file downloads, and simplifies follow-ups for vitiligo treatment monitoring.
Automated calculations eliminated manual VASI estimation, allowing clinicians to process more cases faster and streamlining the assessment process.
By using FTU as the unit of measurement, clinicians aligned around a common VASI score interpretation method.
Pixel-to-meter ratio calibration using black dots ensured consistent mm²-level area outputs.
Clinicians accessed a fully virtual assessment tool, ideal for teledermatology platforms and asynchronous evaluations.
Tracked vitiligo skin progression over time using repeatable VASI score calculation examples across patient visits.
Our solution transforms how clinicians assess and track the vitiligo skin condition. Below are the core features that power accurate, standardized, and real-time VASI score vitiligo evaluations.
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