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 pathway AI second reader for breast cancer screening Autonomous diabetic retinopathy screening in primary care Pre-operative risk-stratification model for major surgery Self-referral assistant for NHS Talking Therapies Type-2 diabetes long-term outcome predictor

Clear selection

	Autonomous diabetic retinopathy screening in primary care Netherlands	AI imaging triage for the acute stroke pathway United Kingdom	AI second reader for breast cancer screening United Kingdom
Trust badge	Validated	Validated & replicable	Validated
Evidence strength	Robust evidence	Developing evidence	Emerging evidence
Pipeline stage	Validated	Scaled	Validated
Intended use	Provides an autonomous screening decision for more-than-mild diabetic retinopathy from retinal fundus images, referring positive cases to ophthalmology.	Interprets acute stroke imaging to support rapid identification of large-vessel occlusion and treatment eligibility, accelerating thrombectomy referral.	Acts as an independent second reader of screening mammograms to support the double-reading workflow and reduce reader workload without lowering cancer detection.
Specialty	Other	Emergency medicine	Radiology
Autonomy	Autonomous (acts without a human)	Informs a human (advisory)	Informs a human (advisory)
Deployment	Active deployment	Scaling up	Active deployment
EU AI Act tier	High-risk	High-risk	High-risk
EU MDR class	Class IIb	Class IIb	Class IIb
CE marking	CE marked	CE marked	CE marked
NICE ESF tier	Tier C — treat / diagnose / calculate risk	Tier C — treat / diagnose / calculate risk	Tier C — treat / diagnose / calculate risk
Headline metric	Sensitivity: 0.87	Time saved: 60	Sensitivity: 0.91
Subgroup assessed	Yes	Yes	Yes