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Legit.Health Β· Clinical Trials Platform

AI-Powered Dermatology
for Clinical Trials

Accelerating precision dermatology with automated scoring and decentralized imaging. Standardize your endpoints with clinical AI.

Why Legit.Health for Clinical Trials

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Novel Digital Endpoints

Increase the quantity of endpoints with the ability to extract data from photos automatically

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Image Quality and Positioning Validation

AI analyses the quality and clinical utility of images to ensure their quality via control of focus, lighting, etc.

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Data Export

Extracts clinical data from images and exports it to readable formats such as CSV, XLS, or JSON

AI Photo Service Provider

Artificial Intelligence Inside the Protocol

Legit.Health is integrated directly into your study protocol as a photo service provider. The AI analyses every image, fills in severity scores automatically, validates image quality, and exports structured clinical data β€” increasing the number of measurable endpoints while removing manual reviewer burden.

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Image Quality Validation

Automated checks for focus, lighting, framing, and clinical utility reject sub-standard images before they enter the trial database.

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Automatic Score Computation

AI reads each image and fills in PASI, SCORAD, SALT, and other indices automatically β€” no manual investigator calculation required.

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Novel Digital Endpoints

Digital photography unlocks measurable endpoints β€” lesion area, colour, texture, spread β€” that are impossible to quantify manually.

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Data Transfers (CSV Β· JSON)

All extracted clinical data is transferred in structured formats for direct integration into your EDC or statistical analysis pipeline.

Dermatology Research Context

Challenges Solved by AI Photography

βœ•Challenges in Dermatology Studies

  • β€”Investigators must manually quantify skin lesions
  • β€”Local skin reactions are subjectively evaluated
  • β€”Tedious assessments reduce investigator adherence
  • β€”Lack of standard conditions for clinical observations
  • β€”Difficulty measuring the treatment area with accuracy
  • β€”Problems locating the treatment area precisely over time

βœ“AI Digital Photography Opportunities

  • βœ“Reduce inter- and intra-observer variability
  • βœ“Precise, reproducible location of the treatment area
  • βœ“Automatic calculations of skin lesion metrics
  • βœ“Time-saving during clinical assessments
  • βœ“Novel endpoints based on digital photography
  • βœ“Robust, documented digital process throughout the study
  • βœ“Enables teledermatology and remote data capture

Conditions Supported

Built for Dermatology

Each condition has a validated scoring system, standardized perspectives, and an imaging mode designed for the study context.

Psoriasis

APASI
πŸ“·
8 images4 perspectives + 4 close-ups
πŸ“±Decentralized or In-clinic
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Image capture protocol: RequiredFull-body or by lesion

Alopecia

ASALT
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4 images4 scalp perspectives
πŸ“±Decentralized or In-clinic
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Image capture protocol: RequiredFull-scalp or by lesion

Acne

ALADIN
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1–2 images1 or 2 face perspectives
πŸ“±Decentralized or In-clinic
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Image capture protocol: RequiredFull-face or 1 capture

Atopic Dermatitis

ASCORAD
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5 images4 perspectives + 1 close-ups
πŸ“±Decentralized or In-clinic
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Image capture protocol: RequiredFull-body or by lesion

Wounds

AWOSI
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1 per lesion1 image per lesion
πŸ“±Decentralized or In-clinic
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Image capture protocol: RequiredFull-body or by lesion

Vitiligo

AVASI
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1 per lesion1 image per lesion
πŸ“±Decentralized or In-clinic
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Image capture protocol: RequiredFull-body or by lesion

Hidradenitis Suppurativa

AiHS4
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1 per lesion1 image per lesion
πŸ“±Decentralized or In-clinic
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Image capture protocol: RequiredBy lesion
Coming Soon

Urticaria

UAS7
πŸ“·
1 per lesion1 image per lesion
πŸ“±Decentralized or In-clinic
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Image capture protocol: RequiredBy lesion
Coming Soon

Additional indicators

Available on request
πŸ“·
1 per lesion1 image per lesion
πŸ“±Decentralized or In-clinic
πŸ“‹
Image capture protocol: RequiredBy lesion
Coming Soon

Core AI Modules

Under-the-Hood Intelligence

Five specialised AI modules work together to validate, segment, and analyse every image captured during the trial.

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Dermatology Image Quality Assessment (DIQA)

Validates focus, lighting, and framing; rejects clinically unusable images before they reach the database.

βœ…

Body Surface Area (BSA) Pose Validation

Confirms captured images belong to expected anatomical domains (scalp, face, trunk, etc.).

Available upon request
🧍

Body Surface Segmentation

Identifies and segments body regions for consistent BSA calculations across visits.

Available upon request
🎯

Skin Surface Segmentation

Isolates skin surface from background and clothing for precise lesion localisation.

Available upon request
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Lesion Segmentation

Delineates lesion boundaries at pixel-level accuracy to compute area, colour, and texture metrics.

Imaging Modes

Capture Where It Makes Sense

Choose the imaging mode that fits your protocol β€” or combine both for maximum flexibility.

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Decentralized

Subjects capture images from home using a guided mobile UI β€” no clinic visit required. Ideal for studies prioritising patient convenience and real-world data.

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In-clinic

Site staff capture images during scheduled visits using clinic devices. Best for protocols requiring controlled lighting, standardised equipment, or immediate QC review.

Data Protection

πŸ”’ Anonymization & Privacy

All images are anonymised before transfer. Multiple privacy layers ensure regulatory compliance and protect subject identity.

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Pre-transfer Anonymisation

All identifiers stripped before images leave the platform.

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Automatic Background Blur

AI removes environmental context that could identify location.

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Facial Redaction

Eyes and mouth automatically detected and obscured.

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Tattoo Redaction

Identifying marks detected and blurred to prevent re-identification.

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HIPAA-Compliant

Full compliance with HIPAA and GDPR data protection requirements.

How It Works

3-Phase Workflow

Phase 01

Capture

  • βœ“Decentralized or in-clinic image collection
  • βœ“Real-time AI quality control
  • βœ“Guided pose detection overlays
  • βœ“11-perspective full-body or scalp/face capture

Phase 02

Intelligence

  • βœ“Automated severity scoring (APASI / ASALT / ALADIN)
  • βœ“No manual review required
  • βœ“Longitudinal tracking across visits
  • βœ“Blinded image handling for site staff

Phase 03

Control

  • βœ“Background blur + facial redaction pipeline
  • βœ“Sponsor Looker Studio dashboard
  • βœ“Deviation digest emails per site
  • βœ“Formal Data Transfer Agreement (DTA)

Platform Features

Everything You Need, Built In

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Decentralized Imaging Capture

Subjects capture images from home using a guided mobile UI β€” no clinic visit needed.

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Automatic Image Quality Control

AI rejects blurry, poorly lit, or misframed images in real time before upload.

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Automatic Pose Detection

Overlay templates guide subjects and staff to reproduce standardized perspectives visit-over-visit.

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AI Severity Assessment

Fully automated scoring using validated dermatology indices β€” results available instantly.

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Anonymization & Privacy (HIPAA)

All exported images are anonymized: background blurred, faces redacted, metadata stripped.

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Multi-language (14 Locales)

Full UI and investigator manual translation for en-US, es-ES, de-DE, fr-CA, and 10 more.

User Journeys

Different Roles, One Platform

Step-by-step workflows for every stakeholder in the trial.

Role 01

Site Staff

1

Enrol Subject

Add subject with site code (CV5-CC#####) and subject code after ICF is signed; system sends activation email automatically.

2

Configure Profile & Language

Set language β€” cascades to all subjects created thereafter across 14 locales.

3

Manage Subjects

View upload history per subject to confirm protocol compliance; image content is hidden to maintain blinding.

4

Track Deviations

Receive daily digest emails listing subjects with missed or late timepoints; follow up and document retraining in source docs.

5

Handle Termination (Admins only)

Request final image set β†’ terminate subject β†’ access revoked, data retained per 21 CFR 312.62(b).

Role 02

Subject

1

Activate Account

Receive email invite β†’ set password (8+ chars, uppercase, lowercase, number, special char) β†’ add app to phone home screen.

2

Configure Phone

Access clinicaltrials.legit.health on mobile, follow setup wizard, ensure device is charged.

3

Capture 11 Images

7 full-body perspectives + 4 close-up lesion images guided by overlay templates; app validates quality and pose in real time.

4

Review & Crop

Preview each image, optionally crop to remove background, confirm before upload.

5

Submit

Upload all 11 images together; do not close or refresh; success confirmation shown (images not visible to subject).

6

Repeat per Visit

Personalized schedule anchored to first upload date; site staff notified automatically if windows are missed.

Role 03

CRO / Sponsor

1

Request Dashboard Access

Submit a file to Legit.Health with user list, named "YYYY-MM-DD Request for access to Legit.Health Dashboard | Who will see data | v.X.X".

2

Receive Credentials

Legit.Health assigns a unique password per user and sends credentials via email with a direct dashboard link.

3

Monitor Trial in Real Time

Access Looker Studio dashboard (password-protected, sponsor-only) with real-time metrics by site, patient enrollment status, and image capture compliance.

4

Review Deviations

Track protocol deviations across all sites with full audit trail; site staff handle follow-up, sponsor has full visibility.

5

Data Transfer

Receive monthly anonymized image exports (background blur + facial redaction) via DTA; final transfer at study close.

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Multilingual Investigator Manual β€” Included

Every trial gets a dedicated, versioned web manual with screenshots and instructions for site staff and subjects, translated into 14 languages. View the demo manual to see it in action.

View Demo Manual β†’
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Ready to Deploy?

Reach out to start configuring your trial β€” scoring system, locales, imaging mode, and manual, all in one platform.