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Table 1 Model input—clinical parameters

From: Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment

Model Input Base case Reference
LVO missed standard care 6% Becks et al. [16]
Reduction of missed LVO through AI detection (varied) 50%  
LVO of patients suspected of stroke receiving CTA 30.6% McMeekin et al. [15]
IAT eligible of LVO population 43.8% McMeekin et al. [15]
Population age 66 MR Clean Trial [3]
mRS after LVO treated with IAT   Aronsson et al. [2]
 mRS 0 11%  
 mRS 1 18%  
 mRS 2 20%  
 mRS 3 17%  
 mRS 4 16%  
 mRS 5 4%  
 Death 14%  
mRS after LVO treated without IAT   Aronsson et al. [2]
 mRS 0 5%  
 mRS 1 8%  
 mRS 2 11%  
 mRS 3 17%  
 mRS 4 27%  
 mRS 5 12%  
 Death 20%  
Probability of recurrent stroke 2.84% Pennlert et al. [18]
  1. LVO, large vessel occlusion; CTA, computed tomography angiography; IAT, intra-arterial thrombectomy; mRS, modified Rankin Scale