Fig. 2. Radiomics and deep learning in clinical workflow and their roles in existing diagnostic pathways.

Replacement: deep learning-based tumor volumetry has potential to replace human-derived manual tumor volumetry for defining image-based progression and non-progression. Triage: deep learning-based metastasis detection has potential to triage patients and identify those whose imaging needs to be read first and may increase radiologists' specificity and reduce tiredness. Add-on: radiogenomics applications have potential to stratify further high-risk and low-risk groups and may help guide patient management. Adapted from Bossuyt et al. BMJ 2006;332:1089-1092 (34).