VisualDx


Provider of an imagery-first clinical decision support platform that combines a large, clinician-curated clinical image library, clinician-authored condition content, guided differential generation, AI-assisted image analysis, and integration services for EHRs, telehealth, and partner platforms. The platform is used for point-of-care decision support, clinician education and CME, telehealth, and partner integrations for life sciences and consumer-facing applications.

Industries

Health Care
Information Services
Medical
Software
Software Development

Nr. of Employees

medium (51-250)

VisualDx


Products

Clinical image library (licensed access)

Licensed access to a curated library of clinical images covering a broad range of conditions, body sites, severity levels, and skin tones for clinical comparison, education, and partner integration.

VisualDx

VisualDx is designed to help clinicians at every stage in their education expediently and accurately diagnose diseases to begin effective patient treatment. It provides instant access to visuals for each diagnosis, clinical information including signs and symptoms, diagnostic and disease management pearls, and treatment guidelines. The app also covers adverse events caused by medications and provides Sympticons illustrating symptoms in adults, children, and infants.

VisualDx AI-Powered Dermatology Triage Tool

An AI-powered tool that provides personalized guidance for skin conditions by analyzing patient photos taken at the point of care. It uses machine learning to analyze photos, suggests likely lesion types, and helps build a meaningful differential diagnosis.

DermExpert

DermExpert is a take-a-picture feature available on Apple and Android devices that helps better understand, diagnose, and treat skin conditions by analyzing photos of skin lesions and providing differential diagnosis results with clinical information and diagnosis images.

VisualDx API Technology

The VisualDx API enables applications to leverage medical content and images curated over 25 years by expert practitioners, enhanced by AI image search providing contextual information on a variety of skin conditions.

Visual Clinical Decision Support System (CDSS)

VisualDx is a clinical decision support system that provides clinician-validated imagery and trusted medical knowledge at the point of care to help clinicians evaluate, compare, and act with confidence.

View All Products

Services

Cloud-hosted platform combining a clinician-curated image library, condition content, and a guided differential-generation tool for use at the bedside and within clinical workflows.

Photo-based machine learning analysis to identify likely lesion types, present guided workups, and support triage and referral decisions via web, mobile, or API delivery.

Licensed delivery of curated clinical images and condition content via APIs for embedding in third-party professional and patient-facing platforms, educational sites, and marketing experiences, subject to usage and IP policies.

Professional services covering goal alignment, technical and security review support, integration configuration (EHR/SSO/APIs), clinician onboarding, and ongoing adoption optimization.

Expertise Areas

  • Clinical decision support
  • Clinical image library development and curation
  • Dermatology image analysis and triage
  • EHR and telehealth integration (FHIR/HL7, RESTful APIs)
  • Show More (5)

Key Technologies

  • AI-based image analysis
  • Differential diagnosis algorithms
  • Clinical image libraries (curated photography)
  • RESTful APIs and FHIR/HL7 interoperability
  • Show More (4)

News & Updates

Partnership to surface clinician-validated imagery and clinical content within generative large language model experiences to ground AI outputs in curated medical knowledge.

Resource page describing integration of image-based decision support into rural care settings, telehealth workflows, and workforce upskilling aligned to state rural health priorities.

Implementation evidence showing clinicians using the platform saw 38% fewer admissions and reduced unnecessary antibiotic use in bedside cellulitis evaluations.

Citation of a peer-reviewed analysis on representation of dark skin images in dermatologic educational resources (JAAD, 2020).


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