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

	AI imaging triage for the acute stroke pathway United Kingdom	Type-2 diabetes long-term outcome predictor Netherlands	Autonomous diabetic retinopathy screening in primary care Netherlands
Trust badge	Validated & replicable	Validated	Validated
Evidence strength	Developing evidence	Robust evidence	Robust evidence
Pipeline stage	Scaled	Validated	Validated
Intended use	Interprets acute stroke imaging to support rapid identification of large-vessel occlusion and treatment eligibility, accelerating thrombectomy referral.	Estimates 5-year risk of major diabetes-related complications (cardiovascular, renal, retinal) from longitudinal primary-care records to support care-plan intensification.	Provides an autonomous screening decision for more-than-mild diabetic retinopathy from retinal fundus images, referring positive cases to ophthalmology.
Specialty	Emergency medicine	Endocrinology	Other
Autonomy	Informs a human (advisory)	Informs a human (advisory)	Autonomous (acts without a human)
Deployment	Scaling up	Active deployment	Active deployment
EU AI Act tier	High-risk	High-risk	High-risk
EU MDR class	Class IIb	Not a device	Class IIb
CE marking	CE marked	Not required	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	Time saved: 60	AUC / AUROC: 0.82	Sensitivity: 0.87
Subgroup assessed	Yes	Yes	Yes