Medical search, reimagined

Ask a clinical question, get the cited evidence

Ask a clinical question for a synthesis with source citations. Review the original evidence, dates, scope and applicability before clinical use.

Start with a real clinical question

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

Evidence summaryCan you summarize the latest evidence on SGLT2 inhibitors for heart failure?Ask this question Latest guidelinesWhat are the most recent guidelines for the management of hypertension?Ask this question Compare treatmentsCan you compare the evidence for DOACs versus warfarin in atrial fibrillation?Ask this question

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Last updated: October 8, 2026

How clinicians search with Arkangel AI

Citations support source inspection; verify that each source supports the claim.

Summarize the evidence

Review cited evidence on a clinical topic, then verify the original studies and their applicability.

Review guidelines

Review recommendations with source citations. Confirm publication and update dates, version, jurisdiction and relevance before use.

Compare treatments

Weigh two treatment options side by side, with the evidence for efficacy and safety laid out and cited.

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

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Compliance Center

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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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Medical search with cited sources: compare the scope

Arkangel AI helps professionals explore medical literature and inspect cited sources. These services serve different needs; this comparison is not a head-to-head performance study. Availability, licensing, source coverage and features depend on the current product and plan.

Medical search with cited sources: compare the scope
Service	Scope to consider	Official source
Arkangel AI	Conversational medical search with citations to check against original literature. Verify dates, omissions and applicability.	Arkangel AI
UpToDate	Clinical reference and decision support. Check the specific editorial content, AI features and subscription offered.	UpToDate
DynaMed	Evidence-based clinical reference. Check topic coverage, update information and institutional access.	DynaMed
ClinicalKey AI	Generative AI for clinicians. Check its cited content, available languages and institutional licensing.	ClinicalKey AI
OpenEvidence	Medical question-answering with sources. Check current access requirements and the evidence behind each answer.	OpenEvidence
ChatGPT	General-purpose conversational assistant. Search and cited sources depend on mode and plan; assess each medical claim and source yourself.	ChatGPT

Published research: benchmark, not demonstrated clinical impact

Arkangel AI: A conversational agent for real-time, evidence-based medical question-answering

Authors as registered for the article: Maria Camila Villa; Natalia Castano-Villegas; Isabella Llano; Julian Martinez; Maria Fernanda Guevara; Jose Zea; Laura Velásquez.

The full article describes five LLMs and predefined retrieval and answer workflows, evaluated with MedQA and PubMedQA. Accuracy used the 1,273-question MedQA test set without fine-tuning. Retrieval and quality assessment used 127 MedQA questions (10%) and 500 Human-Evaluated PubMedQA questions (50%), with RAGAS context, relevance and faithfulness metrics, statistical tests and 95% confidence intervals.

90.26% accuracy on MedQA (1,273 questions).
80% retrieval of expected articles.
82% relevant answers on PubMedQA.

Table 8: 401/500 expected abstracts retrieved (80.20%).
Table 9: 414/500 relevant responses (82.80%).

These benchmarks evaluate the studied system, not patient outcomes, diagnostic accuracy in practice or a guarantee for the current service. External validation and real-world physician scenarios are still needed. Specialties are unevenly represented in MedQA. PubMedQA Table 9 also lists 86 non-relevant and 23 empty responses alongside 414 relevant responses; the categories require clarification before interpreting exclusions. The authors disclose relationships with Arkangel AI; this is not independent validation.

Reference checked on October 8, 2026: DOI metadata and the full 12-page editorial PDF publicly linked by Arkangel AI. The abstract rounds retrieval and relevance to 80% and 82%; Tables 8 and 9 report 80.20% and 82.80%.

Indexed published abstract Full editorial article (PDF)

Preliminary pilot: workflow measurements

Figures communicated for a preliminary pilot: 79.8% faster and 34.1% fewer searches. These percentages have not been reconciled with the times and search counts in the source poster, and must not be treated as validated measured reductions. The poster reports 25 participants (13 using MedSearch and 12 using traditional methods). This is not demonstrated clinical impact; verify the calculation, protocol, denominator and uncertainty with the research team before interpreting or extrapolating these figures.

Source poster: preliminary pilot

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Review evidence before applying a finding

Review evidence before applying a finding
Review point	Manual review	Assisted review
Input	Read the source documents and define the question.	Organize the available question, documents and cited evidence.
Evidence	Find and open the original source.	Inspect each cited source and whether it supports the finding.
Exceptions	Check missing information and conflicting evidence.	Retain unresolved exceptions for human review.
Decision	Document the reviewer’s conclusion.	Approve or reject the candidate; assistance does not settle the decision.

Synthetic educational example · not a live product response

Question → answer → source → verification

How should I check whether a literature result applies to my question?

Compare the study population, intervention, comparator and outcomes with the question, then examine uncertainty and context before drawing a conclusion.

Cochrane Handbook · Chapter 15

Open Chapter 15, check its applicability discussion and publication/version date, and identify what the source supports. This editorial example does not show retrieval performance or guarantee that every question has current evidence.

Ask a focused question, inspect the sources actually returned and check dates, study design and exclusions. A cited answer can omit evidence or misinterpret it. Source coverage and updates should be confirmed for the service; clinical decisions remain with the professional.

Frequently asked questions

How is this different from a regular search engine?

Instead of returning a list of links, it reads the literature and synthesizes a direct, cited answer to your clinical question.

Where does the evidence come from?

The answer provides citations for inspection. Open the original source, check publication date, population and exclusions, and verify whether it supports the claim. A citation alone does not prove completeness or clinical applicability.

Can it find the most recent evidence?

Recency must be verified in the original source. Check publication and update dates, guideline version, jurisdiction and applicability before use. Arkangel AI does not establish that every newer publication has been retrieved.

Explore related pages

AI for Medical Evidence Evidence-Based Medicine AI AI for Doctors

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.