SkinVision
AI-powered skin cancer detection app that provides a risk assessment for uploaded skin spots and is CE-certified under EU MDR Class IIa.
Last updated: June 7, 2026
Back to directoryWhite-label health AI assistant from b.well that helps organizations embed conversational experiences grounded in connected patient health data.
Organizations building consumer-facing health navigation, self-service, data access, and follow-through workflows without building their own health AI assistant stack.
Compare within workflow: Patient access, triage, and agents · comparison shortlist · source index
Product-specific review. These product-specific signals summarize what the cited sources imply before treating b.well bailey as safe for a local clinical, operational, or research workflow.
| Regulatory / FDA | Treat bailey as patient-facing health navigation and connected-data assistant infrastructure unless local configuration supports patient-specific diagnosis, treatment, medication, or triage decisions; review intended use and escalation policy carefully. |
|---|---|
| Privacy | Verify identity proofing, consent, HIPAA role, BAA terms, FHIR and network connections, data-source permissions, longitudinal record assembly, AI processing, retention, model improvement, subprocessors, and patient revocation workflows. |
| Evidence | Pilot with the target population, data-source mix, language, benefits context, care-navigation tasks, unsafe prompts, incomplete records, and handoff rules before relying on engagement or self-service claims. |
| Workflow | Best governed as a consumer-facing assistant with approved intents, data-source provenance, human escalation, emergency routing, audit trails, user consent controls, and periodic review of answer quality and task completion. |
b.well describes bailey as a ready-to-deploy white-label health AI assistant built on its Health AI SDK, grounded in longitudinal health records assembled from clinical, claims, pharmacy, and wearable data; public launch, product, privacy, and terms materials emphasize connected health data, FHIR-oriented workflows, security, and consumer-facing assistant limits that buyers should verify for each deployment.
Not for: Autonomous diagnosis, emergency triage, unsupported treatment decisions, or consumer-facing recommendations without clinical, privacy, and escalation governance.
Use these links to confirm current claims, terms, regulatory status, pricing, and deployment requirements.