Rakha EA, Alsaleem M, ElSharawy KA, et al. - Researchers assumed that the visual evaluation of breast cancer (BC) morphological features can provide valuable insight into underlying molecular profiles. Researchers applied Cancer Genome Atlas BC cohort (n = 743) and morphological features, including Nottingham grade and its components and nucleolar prominence, were evaluated applying whole‐slide image (WSIs). Two independent scores were assigned, and discordant cases were applied to present cases with intermediate morphological features. It was shown that morphological features are probably related to distinct underlying molecular profiles that drive both morphology and behavior. This research serves further evidence to support the use of image‐based analysis of WSIs, including artificial intelligence algorithms, to prognosticate tumor molecular profiles and outcomes.