For clinicians

Point-of-care decision support you can verify

At the moment of decision, ask about a differential, a current guideline, or a medication interaction and get a concise, cited answer — evidence retrieval at the speed of practice.

Start with a real clinical question

Pick a question to ask Arkangel AI — we keep it through sign in and answer with cited evidence.

Structure a differentialHow should I structure a differential diagnosis for a patient presenting with shortness of breath?Ask this questionSummarize a guidelineCan you summarize the current guideline recommendations for managing community-acquired pneumonia?Ask this questionCheck interactionsAre there any clinically important interactions in this medication list I should be aware of?Ask this question

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Healthcare organizationsLogos shown for reference

Mayo Clinic
Mount Sinai
Cleveland Clinic
MD Anderson
IEEE
Novartis
Boston Scientific
Novo Nordisk
Elsevier
Johnson & Johnson
Knight Foundation
AstraZeneca
Boehringer Ingelheim
Bristol-Myers Squibb

Last updated: June 12, 2026

Reviewed by: Arkangel AI clinical review team, Medical AI content

How clinicians use Arkangel AI

Decision support at the point of care, grounded in current evidence.

Sharpen the differential

Structure the differential for a presenting complaint, with the dangerous diagnoses flagged and the workup to confirm or exclude them.

Confirm the guideline

Check the current evidence-based recommendation for a condition before you commit to a management plan.

Catch the interaction

Review a patient's medication list for clinically significant interactions and contraindications in seconds.

Evidence-based search built for clinicians

Ask any clinical question and get a concise, cited answer drawn from peer-reviewed literature and clinical guidelines.

Explore potential documentation gaps

Review available, supported records for potential billing details and documentation gaps. Validate findings against the complete clinical context.

Evidence at your fingertips

Explore available clinical guidelines and literature, and check the sources and relevance of each finding before applying it.

Findings for clinical review

Surface potential clinical risks and documentation gaps in supported records for professional review. Timing and coverage depend on the configured workflow.

Review potential billing gaps

Identify possible missing charges or coding gaps in supported records. Billing professionals validate the documentation and applicable payer rules before making changes.

Security & Compliance

ISO 27001 Certified. HIPAA Compliant.

70+ security controls, penetration tested, and continuously monitored via Vanta.

Compliance Center

ISO 27001:2022 certified, HIPAA compliant, and penetration tested. With 70+ security controls covering infrastructure, data privacy, and audit procedures—plus continuous monitoring via Vanta—your PHI stays protected with enterprise-grade cryptographic controls and information access restrictions.

Explore the Compliance Center

Built for Healthcare Teams

Role-based access control, secure development policies, and system change procedures let your team collaborate safely. Scale across departments with audit trails, asset handling controls, and subprocessors like Azure for anonymization—all documented in our public Compliance Center.

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Frequently asked questions

Does Arkangel AI cite its sources?

Yes. Every answer links to the peer-reviewed studies and guidelines it draws from, so you can verify the evidence before acting.

Is this a replacement for clinical judgment?

No. Arkangel AI is clinical decision support. It accelerates evidence retrieval but does not replace your assessment of the individual patient.

Can it keep up with current guidelines?

Yes. Ask for the current evidence-based approach and it summarizes the relevant guideline recommendations with sources.

Explore related pages

AI for DoctorsAI for Healthcare TeamsAI for Clinical Guidelines

Clinical decision support, not a replacement

Arkangel AI supports clinical decision-making and does not replace clinician judgment. Always confirm recommendations against primary sources and your local protocols before acting.

AI processes supported records, flags priority findings, and keeps human review auditable.

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