System and method for data gathering and visualization

A method for managing medical literature, the method comprising:

• identifying a set of publications from a plurality of publications, the set of publications associated with a common topic;
• automatically choosing, via a prediction model, a subset of relevant publications from the set of publications, the subset of relevant publications chosen based on a prediction score associated with data related to each of the subset of relevant publications, wherein the prediction model is trained, via a machine-learning algorithm, to determine the prediction score for each publication of the set of publications, wherein training of the prediction model is via i) previously identified relevant publications and non-relevant publications, and ii) associated data of the previously identified relevant publications and non-relevant publications;
• automatically applying one or more hierarchical tags to each publication of the subset of relevant publications, the one or more hierarchical tags corresponding to concepts of the common topic, the one or more hierarchical tags associated with extracted data from the subset of relevant publications, wherein the one or more hierarchical tags are organized hierarchically, wherein at least one hierarchical tag comprises a parent tag and one or more levels of child tags;
• automatically assembling a presentation of the concepts of the common topic and respective extracted data according to the hierarchical organization of the one or more hierarchical tags;
• wherein said presentation of the concepts and respective extracted data is configurable to be automatically updated based on identifying new publications.