Clinical Skin Intelligence for Every AI Platform
Trusted by the platforms bringing AI into health
Why this matters now
Clinicians are increasingly turning to AI and LLM tools for fast answers, often before they open a dedicated clinical reference. That shift is already underway, and it raises the bar for what those tools need to get right.
The gap shows up in two places:
- Access. More than 65% of skin conditions are seen by someone other than a dermatologist. Average wait time to see one has passed 55 days. Clinicians and patients alike are asking AI first.
- Representation. Darker skin tones appear in as little as 4% of images across major dermatology resources, a gap tied to diagnostic uncertainty and delayed care.
This is the gap we built VisualDx to close, and it’s the same problem we help AI and digital health teams solve when they connect to our content.
What the API and MCP server give your platform
Clinically validated content
Decades of physician-led review, not scraped or crowdsourced. Every answer your platform generates is grounded in content built by clinicians, for clinical accuracy.
Reliable and consistent, not generative
VisualDx content doesn’t change from one query to the next. It’s fixed, reviewed clinical content, so what a clinician sees is the same every time, not a fresh generation with its own risk of drifting or getting it wrong.
Shows up where clinicians already are
Delivered as a REST API and an MCP server, so VisualDx content can appear directly inside the AI and LLM tools clinicians are already using, instead of asking them to open another tab.
Inclusive imagery across skin tones
A library engineered to represent real-world presentations across skin tones, body locations, and severity levels, so answers stay consistent and trustworthy for every user, not just some.
One clinical foundation, two ways to connect
Structured, documented, versioned. Pull clinical content and imagery directly into your application’s existing architecture.
Clinicians are already turning to AI and LLM tools for fast answers. The MCP server lets VisualDx content show up directly inside those tools, wherever a clinician is already working, instead of sending them somewhere else to look it up.
That content is fixed and clinician-reviewed, not generated fresh for each query. Whatever tool it appears in, it stays reliable and consistent.
VisualDx supports clinical understanding and decision-making. It does not replace a clinician’s judgment, and nothing in these integrations is intended to diagnose a condition on its own.
This kind of integration is already live today: Read how VisualDx content appears inside Perplexity.
Talk to us about MCP access Request Access to the PortalBeyond one integration
One API, two critical moments
From patient discovery on Lilly’s dermatology experience to clinician decision support inside L’Oréal’s clinical portal, the VisualDx API delivers consistent, physician-led skin intelligence across the care journey.
Absolut Skin
Absolut Skin integrates the VisualDx API to deliver clinical-grade skin guidance across Jamaica and the wider Caribbean, where access to dermatologists is limited. The platform pairs trusted content with telemedicine pathways to help people understand a concern and connect to care.
“This collaboration with VisualDx brings clinical-grade intelligence directly to users’ smartphones, empowering them to better understand and manage their skin concerns early. It bridges the gap between clinical dermatology and consumer wellness, while still ensuring expert care is just a few taps away.”
Dr. Romario ThomasCEO, Absolut Skin
What the research and reviews say
From the field:
“The number and quality of images is unparalleled. For a single diagnosis, you may see images from different sites on the body and in patients of different skin color.” Cynthia Reyes Barron, MD, Dermatopathologist and Clinical Assistant Professor, Texas Tech University Health Sciences Center El Paso
“To be able to see a wide variety of high-quality images, particularly in patients across all skin tones, truly this helps provide better care to our patients and better teaching to our learners.” Keith Morley, MD, Assistant Professor of Medicine, UVM
"VisualDx has set a high standard for representing conditions across skin tones, body locations, and levels of severity in a way clinicians can rely on. Accuracy is the foundation of Perplexity, and bringing VisualDx's expertise into our health answers helps ensure people get information that's both trustworthy and reflective of how conditions actually appear in the real world."
Emily Jorgens Head of Business Development and Partnerships, PerplexityBuilt to meet enterprise healthcare standards
- HIPAA-ready architecture
- SOC 2, ISO, and GDPR-aligned practices
- RESTful APIs with clear documentation and versioning
- Infrastructure designed to scale from pilot to production
- VisualDx integrates alongside existing systems without disruption
Questions platforms ask us
Does the VisualDx API diagnose skin conditions? No. VisualDx content is designed to support understanding and clinical decision-making. It does not diagnose on its own and is not a substitute for a clinician’s judgment.
Is the content clinically reviewed? Yes. The library reflects more than 25 years of physician-led curation and review.
How is the imagery representative across skin tones? The library was deliberately built to include a wide range of skin tones, body locations, and severity levels, addressing a documented gap in most dermatology reference material.
What's the difference between the REST API and the MCP server? The REST API is built for direct integration into applications and workflows. The MCP server is purpose-built for AI and LLM platforms, letting a model pull clinically validated content and imagery into a generated answer in real time.
Is this secure enough for an enterprise or regulated platform? Yes. VisualDx maintains a HIPAA-ready architecture with SOC 2, ISO, and GDPR-aligned practices. Full detail is available at the Trust Center.
How fast can we integrate? Most teams start with the Developer Portal for documentation and sandbox access, then move to a scoped conversation with our team about REST or MCP integration paths.
Bring Clinical-Grade Visual Intelligence to Your Platform
Talk with our team about API and MCP access