Medical imaging and radiology
Swift Medical
Digital wound care platform that uses calibrated wound images, AI-supported analysis, workflow software, and analytics to standardize wound assessment and documentation.
Last updated: June 6, 2026
Back to directoryModel Dermatol medical AI product profile
AI dermatology image-search tool that analyzes submitted skin photos and returns relevant disease information rather than a definitive diagnosis.
Medical imaging and radiology
Best fit
Educational, triage-adjacent, or clinician-reviewed image-search workflows where outputs are treated as reference material and not diagnosis.
- Primary use case
- AI-assisted dermatology image search that returns relevant skin disease information and reference links for review
- Audience
- Clinicians, medical students, dermatology educators, teledermatology teams, and patients evaluating image-based skin disease information tools
- Risk level
- Medium to high
- Pricing signal
- Free web and mobile access is described publicly; verify current app-store availability, language support, professional-use limits, and any regional restrictions.
- Official sources
- 3 official sources
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Regulatory, privacy, evidence, and workflow lens
Product-specific review. These product-specific signals summarize what the cited sources imply before treating Model Dermatol as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Treat as medical information retrieval unless local deployment changes the intended use; verify CE MDR Class I marking, FDA non-approval, diagnostic disclaimers, app-store labeling, and country-specific medical-device rules before clinical use. |
|---|---|
| Privacy | Review image upload, metadata fields, symptoms, language and country processing, device information, transfer for analysis, no-storage claims, consent, and whether organizational use needs a separate agreement. |
| Evidence | Use published algorithm and research materials as background only, then test local cases for image quality, skin tone, condition mix, false reassurance, and whether reference links support safe next steps. |
| Workflow | Best governed as an educational or clinician-reviewed visual search aid with explicit escalation to dermatology or urgent care for concerning lesions, changing symptoms, or uncertain outputs. |
Where Model Dermatol fits
Model Dermatology describes Model Dermatol as an AI dermatology image-search tool for finding relevant skin disease information, states that it is freely available on Android, iOS, and PCs, and says it should not be used as a medical device for diagnosis. Its privacy policy says submitted cropped images and metadata are transferred for analysis but not stored, and the site states the algorithm has CE MDR Class I marking but no FDA approval.
Not for: Emergency skin findings, autonomous diagnosis, replacing dermatology review, biopsy decisions, or regulated clinical use in settings where FDA clearance or local authorization is required.
What to verify before using Model Dermatol
- Whether the intended workflow is patient self-education, clinician education, medical information retrieval, or clinical decision support because the vendor states it must not be used as a diagnostic medical device.
- Current CE MDR Class I marking, absence of FDA approval, supported platforms, supported languages, image requirements, intended users, and local regulatory status.
- How cropped images, metadata, symptoms, language, country, device information, transfer for analysis, storage claims, retention, deletion, and consent are handled.
- Performance for the local population, skin tones, lesion types, image quality, false reassurance, missed malignancy, escalation language, and clinician follow-up rules.
Source links
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.
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