Fig. 7: Demonstration of Intelligent Explorer functionality.

a A screenshot of the Intelligent Explorer. (1) The search articles panel allows searching for articles based on specific properties such as cancer type, implementation details, and data utilized. (2) Given a certain user query a visual summary of performance, publication dates and quality indicators is displayed. (3) A list of articles and key features that is also available for download. (4) The Visual Analytics panel allows quick investigation of studies performed on a certain cancer or for a certain clinical class. b Quality indicators for papers predicting HER2 status from H&E images. A: Assessment, B: Benchmarking, C: Code, D: Data, E: External validation, I: Implementation details, M: Methodology. c Number of studies investigating HER2 in different cancer types. d Number of papers specifying the gender, and age investigated in their studies. Studies investigating gender-specific cancers such as prostate, and gynaecological cancers were assumed to implicitly specify gender. e Age range distribution across papers, with each yellow line representing the age range for a specific study. f Frequency of age range used in datasets. g World heatmap highlighting the number of papers published by each country based on the senior author country of affiliation. h World heatmap highlighting affiliation countries of all authors of reviewed papers.