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

	Self-referral assistant for NHS Talking Therapies United Kingdom	Autonomous diabetic retinopathy screening in primary care Netherlands	AI imaging triage for the acute stroke pathway United Kingdom
Trust badge	Validated	Validated	Validated & replicable
Evidence strength	Developing evidence	Robust evidence	Developing evidence
Pipeline stage	Validated	Validated	Scaled
Intended use	Supports patient self-referral by collecting clinical information conversationally and routing referrals, reducing administrative wait time.	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.
Specialty	Psychiatry	Other	Emergency medicine
Autonomy	Human in the loop (human acts)	Autonomous (acts without a human)	Informs a human (advisory)
Deployment	Active deployment	Active deployment	Scaling up
EU AI Act tier	Limited risk	High-risk	High-risk
EU MDR class	Not a device	Class IIb	Class IIb
CE marking	Not required	CE marked	CE marked
NICE ESF tier	Tier B — inform / monitor	Tier C — treat / diagnose / calculate risk	Tier C — treat / diagnose / calculate risk
Headline metric	Accuracy: 0.93	Sensitivity: 0.87	Time saved: 60
Subgroup assessed	Yes	Yes	Yes