Every claim we hold, and how far we can stand behind it.
142 claims across 39 products. 28% are confirmed against the source text by the evidence gate; 39% come from a class with no vendor interest. Everything below is browsable, filterable, and available as JSON.
| Evidence class | Claims | Confirmed | What it can support |
|---|---|---|---|
| Peer-reviewed study | 19 | 5 | Reviewed before publication; assess study quality, funding, conflicts, and relevance to your setting. |
| Regulatory filing | 4 | 0 | A statement made to a regulator, where being wrong has consequences. |
| Independent report | 32 | 9 | Reporting outside a vendor publication; assess underlying data, sponsorship, and conflicts separately. |
| Customer case | 4 | 3 | A real deployment, but selected and framed by someone with an interest. |
| Press release | 63 | 22 | The vendor's own announcement. Useful for dates and facts, not for outcomes. |
| Vendor page | 20 | 1 | Marketing copy. Establishes what is claimed, never that it is true. |
Showing 5 of 5 matching claims (142 in the full corpus) · 20% of this selection is confirmed · clear filters
Real-world performance evaluation of the Aidoc Medical Briefcase ICH Triage model across 101,944 non-contrast head CT examinations from 74,142 patients in a 17-facility academic health system (April 2023-April 2025) demonstrated 82.2% sensitivity, 97.6% specificity, and 96.6% accuracy for intracranial hemorrhage detection (npj Digital Medicine).
Provenance
- Claim ID
- clm_c0fa19558e3ea5d6059f
- Version
- 1
- Workflow
- Imaging & Diagnostic AI
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12823562/
NEJM AI randomized trial (Dec 2025): among 238 outpatient physicians across 14 specialties (Nov 4, 2024-Jan 3, 2025) randomized to Microsoft Dragon Ambient eXperience (DAX) Copilot, Nabla, or usual care, DAX was used in 33.5% of 24,696 visits; DAX users showed no significant change in time-in-note (-1.7%; 95% CI -9.4% to +5.9%; P=0.66) but significant improvements in burnout measures (Mini-Z +2.83; PTL -39.9) versus control.
Provenance
- Claim ID
- clm_dd375bd99918073f92db
- Version
- 1
- Workflow
- Ambient Clinical Documentation
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12768499/
Blinded PDQI-9 evaluation (Frontiers in Artificial Intelligence, 2025) of 97 clinical encounters across five specialties compared LLM-generated ambient notes from Suki's production system against physician-authored Gold notes: overall quality scores were comparable (4.20/5 ambient vs 4.25/5 gold, p = 0.04), ambient notes scored higher on thoroughness (4.22 vs 3.80, p < 0.001) and organization (p = 0.03), and reviewers overall preferred ambient notes 47% vs 39%, though hallucinations were detected in 31% of ambient vs 20% of gold notes (p = 0.01).
Provenance
- Claim ID
- clm_93f1e478d301f2abd57c
- Version
- 1
- Workflow
- Ambient Clinical Documentation
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12586549/
Meta-analysis of six retrospective real-world studies encompassing 9,102 CTPA scans, all assessing the Aidoc or CINA-PE FDA-approved algorithms for acute pulmonary embolism detection, found pooled sensitivity of 93% (95% CI 88%-95%) and specificity of 98% (95% CI 93%-100%) (Cureus).
Provenance
- Claim ID
- clm_15d57030cdd4dbabf213
- Version
- 1
- Workflow
- Imaging & Diagnostic AI
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12604435/
Mayo Clinic study in J Prim Care Community Health (2025 Apr 16;16:21501319251332215, doi 10.1177/21501319251332215) found OpenEvidence 'provided accurate, evidence-based recommendations in all cases, aligning with physician plans' across five common chronic conditions, with mean scores of clarity 3.55±0.60, relevance 3.75±0.44, support 3.35±0.49, and satisfaction 3.60±0.60.
Provenance
- Claim ID
- clm_565ce01a474e2b680115
- Version
- 1
- Workflow
- Clinical Evidence & Decision Support
- Dimension
- evidence strength
- Retrieved
- 2026-08-27
- Reviewer
- healthit-gate-v1
- Source URL
- https://pmc.ncbi.nlm.nih.gov/articles/PMC12033599/