- Wide finding coverage on chest X-ray and CT
- Practical second-look support within established reading workflows
- Active regulatory work across multiple regions
Best for
Radiology departments wanting wide finding coverage
Pricing
Custom
SoftFinders Score
8.1 / 10
Overview
What is Annalise.ai?
Annalise.ai is an AI radiology decision-support platform for teams reading chest X-rays and CT brain studies, flagging clinically significant findings for prioritization and review.
- Clinical role: It supports imaging triage and radiologist productivity rather than autonomous interpretation, with clearance and validation varying by clinical indication.
- Coverage and fit: Radiology departments seeking broad chest and brain coverage may value it as a second-look layer in established workflows.
- Implementation checks: Buyers should confirm clearance details, PACS and worklist integration, workflow placement, evidence depth, impact metrics, and oversight before rollout.
- Commercial model: Pricing is sales-led and scoped per buyer rather than publicly posted; a pilot can clarify fit before wider adoption.
Its value depends on indication-specific evidence, workflow integration, and radiologist oversight across use cases.
KEY FEATURES
What you get out of the box
Multi Modality
Supports CT, MRI, X-ray, and related modalities
Care Coordination
Routes alerts to relevant care team members
Reporting Support
Drafts or supports impressions and report language
Imaging Workflow
Connects across PACS and reading environments
Outcome Tracking
Tracks downstream care actions from flagged studies
Mobile Alerts
Sends mobile notifications for time-sensitive findings
USE CASES
Where teams put it to work
Editorial Take
What we like, and what to verify
- Clearance scope varies by region and indication
- Workflow placement requires careful PACS planning
- Evidence depth should be assessed by indication
Screenshots
A look inside

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FAQ
