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

	Type-2 diabetes long-term outcome predictor Netherlands	Autonomous diabetic retinopathy screening in primary care Netherlands	Self-referral assistant for NHS Talking Therapies United Kingdom
Trust badge	Validated	Validated	Validated
Evidence strength	Robust evidence	Robust evidence	Developing evidence
Pipeline stage	Validated	Validated	Validated
Intended use	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.	Supports patient self-referral by collecting clinical information conversationally and routing referrals, reducing administrative wait time.
Specialty	Endocrinology	Other	Psychiatry
Autonomy	Informs a human (advisory)	Autonomous (acts without a human)	Human in the loop (human acts)
Deployment	Active deployment	Active deployment	Active deployment
EU AI Act tier	High-risk	High-risk	Limited risk
EU MDR class	Not a device	Class IIb	Not a device
CE marking	Not required	CE marked	Not required
NICE ESF tier	Tier C — treat / diagnose / calculate risk	Tier C — treat / diagnose / calculate risk	Tier B — inform / monitor
Headline metric	AUC / AUROC: 0.82	Sensitivity: 0.87	Accuracy: 0.93
Subgroup assessed	Yes	Yes	Yes