Head-to-Head
Aidoc vs Regard (2026)
Aidoc
Paid★ 4.7
Regard
Paid★ 4.6
Aidoc is a radiology AI platform that analyzes medical imaging in real time, prioritizing urgent scans and flagging critical findings like pulmonary embolism, intracranial hemorrhage, and aortic dissection. Regard is an inpatient AI diagnostician that monitors hospitalized patient data inside Epic, surfacing missed diagnoses and ICD coding suggestions for complex inpatients. These tools solve fundamentally different problems: Aidoc wins for radiology departments managing imaging triage; Regard wins for hospitalist teams managing complex inpatients and billing accuracy.
Feature Comparison
Primary Clinical Domain
Aidoc serves radiology departments - imaging triage and critical finding detection. Regard serves hospital medicine - inpatient diagnosis and ICD coding. Both are best-in-class for their specific domain.
Real-Time Processing
Aidoc analyzes imaging as it is acquired, flagging findings before the radiologist opens the study. Regard surfaces diagnoses continuously as new patient data is added to Epic.
EHR Integration
Regard is Epic-native with deep integration. Aidoc integrates with PACS systems and EHRs but requires more complex radiology IT infrastructure.
Clinical Evidence Strength
Aidoc has FDA clearance for multiple imaging use cases and published studies on PE and ICH detection. Regard has strong UPMC validation evidence for inpatient diagnosis accuracy.
Revenue and Billing Impact
Regard directly improves ICD coding accuracy and captures missed diagnoses that affect billing. Aidoc's revenue impact is indirect through workflow efficiency and critical finding response time.
Implementation Complexity
Aidoc requires PACS integration and radiology IT collaboration. Regard deploys as an Epic application with less integration complexity.
Pricing
Both are enterprise-priced tools requiring health system contracts. Neither publishes list pricing publicly.
Verdict
This comparison is context-dependent. Aidoc scores 26/35 and Regard scores 29/35. Choose based on your specific workflow needs.