AI-assisted dermatology platform

Clinical insight with
real-world
dermatology focus.

OmniDerma brings structured AI support to dermatologic practice — helping clinicians analyse lesions, organize differentials, stratify risk, and document care more clearly.

Meet OmniRisk — intelligent lesion risk support.

A clinician-facing engine designed to turn dermatologic images and clinical context into structured probability estimates, practical differential suggestions, and more consistent case review.

Sample outputs Structured review
Suspicion indexHigh
Confidence interval64–86%
Derm differentialRanked

Probability-driven risk support

Go beyond generic AI summaries with outputs shaped around confidence ranges, lesion risk framing, and structured clinical review.

Differentials with context

Combine image interpretation with symptoms, medications, timing, and patient history to generate more useful differential guidance.

Built for workflow, not spectacle

Clear sections, readable output, and clinician-oriented structure keep the tool practical instead of flashy for its own sake.

A broader dermatology platform,
not just one single trick.

OmniDerma is built as a system of clinician tools — from lesion analysis and differential support to emergency workflows and future patient-facing modules.

Image review

Lesion Analysis

Supports suspicious or complex lesion workflows with image-based review designed for real clinical use.

Decision support

Differential Guidance

Structured differentials help organize diagnostic thinking without pretending to replace physician judgment.

Acute care

Emergency Dermatology

Helps frame high-stakes dermatologic presentations with focused, practical, clinician-readable output.

Documentation

Structured Output

Information is returned in a format meant to be reviewed quickly, communicated clearly, and stored efficiently.

Follow-up

Longitudinal Comparison

Future-facing workflow for comparing visits over time, supporting progression review and treatment response tracking.

Practice utility

Clinician-first Design

Built around what actually matters in practice: speed, clarity, consistency, and useful structure.

Introducing OmniDerma Aesthetica

A future extension focused on aesthetic consultation support — helping patients visualize realistic expectations before treatment and helping practices communicate outcomes more clearly.

Procedure preview

Before & After Simulation

AI-generated visual previews can help frame likely outcomes from selected aesthetic procedures before the first session.

Patient education

Visual Informed Consent

Replace vague mental images with a clearer visual conversation around realistic expectations and treatment goals.

Practice value

Clearer Consultations

Better expectation-setting can improve trust, reduce ambiguity, and make aesthetic consultations more productive.

Currently in development — inquire for early access

From image to insight
in seconds.

01

Upload image

Capture or upload a high-quality photo directly inside the platform.

02

Add context

Enter symptoms, duration, medication history, and other clinically useful details.

03

Run analysis

OmniDerma processes visual and contextual information into structured support output.

04

Review & document

Interpret the results in clinical context, compare over time, and save the case workflow.

Interested in a demo,
partnership, or collaboration?

Whether you are a clinician, practice, health system, collaborator, or investor, we would be glad to show you what OmniDerma is building.

This demo form currently opens your email app so you can contact the team directly.

Medical Disclaimer

OmniDerma is an AI-assisted clinical support tool intended for training and educational purposes only. The platform does not provide medical diagnosis and must not be used as a standalone diagnostic system. All outputs require interpretation by qualified medical professionals.

The gold standard for the evaluation of skin neoplasms remains clinical assessment followed by excision and histopathological examination where indicated.

AI-generated analyses may be inaccurate or incomplete. Clinical decisions must always be based on current medical guidelines, physician judgment, and individual patient context.