Compare use cases
Drop two or three slugs into the URL — for example ?slugs=demo-mia-breast-screening,demo-idx-dr-retinopathy — or pick from the validated catalogue below.
Pick from validated:
AI imaging triage for the acute stroke pathwayAI second reader for breast cancer screeningAutonomous diabetic retinopathy screening in primary carePre-operative risk-stratification model for major surgerySelf-referral assistant for NHS Talking TherapiesType-2 diabetes long-term outcome predictor
Clear selection| AI second reader for breast cancer screening United Kingdom | Autonomous diabetic retinopathy screening in primary care Netherlands | |
|---|---|---|
| Trust badge | Validated | Validated |
| Evidence strength | Emerging evidence | Robust evidence |
| Pipeline stage | Validated | Validated |
| Intended use | Acts as an independent second reader of screening mammograms to support the double-reading workflow and reduce reader workload without lowering cancer detection. | Provides an autonomous screening decision for more-than-mild diabetic retinopathy from retinal fundus images, referring positive cases to ophthalmology. |
| Specialty | Radiology | Other |
| Autonomy | Informs a human (advisory) | Autonomous (acts without a human) |
| Deployment | Active deployment | Active deployment |
| EU AI Act tier | High-risk | High-risk |
| EU MDR class | Class IIb | Class IIb |
| CE marking | CE marked | CE marked |
| NICE ESF tier | Tier C — treat / diagnose / calculate risk | Tier C — treat / diagnose / calculate risk |
| Headline metric | Sensitivity: 0.91 | Sensitivity: 0.87 |
| Subgroup assessed | Yes | Yes |