Fig. 11: Possible integration strategies for our approach into DVT diagnostics pathways.
From: Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning
a current clinical algorithm to diagnose DVT without software support according to UK NICE guidelines6 and b–f possible variants to integrate ML software support into the clinical pathway. Algorithms 1–3 shown in (b–d) generate a positive net monetary benefit (cf. Fig. 6). The examined modifications have been suggested by health economics and clinical experts. Note that treatment options may further depend on the age of the clot, which might be manually estimated during confirmatory ultrasound scans43.
