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. 2020 Nov 30;16:144–148. doi: 10.1016/j.phro.2020.11.002

Table 3.

Model monitoring Quality Assurance (QA) measures during clinical use of machine learning applications.

#Responders
Assessment of edits/modifications 4
Model constancy testing/ end-to-end performance 2
AI workflow as parallel process for offline assessment 2
Time saving analysis for first clinical patients 1
Home-made application for QA of upgrades (contouring) 1
Checksum checks (contouring and planning) 1
Six-month check with a shadow database (synthetic CT) 1