Abstract: Methods and systems for automatically linking entries in a medical image report to an image of a medical image study. One method includes identifying a description of pathology in text included in the medical image report using natural language processing and applying a model to select for the medical image report at least one modality and at least one image included in the at least one medical image study generated by the at least one modality. The method also includes creating a data link between the description of pathology and the at least one image included in the at least one medical image study generated by the at least one modality, and automatically inserting the data link into the medical image report, the data link being selectable to display the at least one image included in the at least one image generated by the at least one modality.

Abstract: Methods and systems for automatically linking entries in a medical image report to an image of a medical image study. One method includes identifying a first plurality of image features referenced in text included in the medical image report using natural language processing, identifying a second plurality of image features in images included in the medical image study, and comparing the first plurality of image features and the second plurality of image features. In response to a first image feature included in the first plurality of image features and a second image feature included in the second plurality of image features matching, the method includes creating a data link between the medical image report and an image included in the medical image study including the second image feature, and automatically inserting the data link into the medical image report, the data link selectable by a user to display the image.

Abstract: Methods and systems for automatically linking entries in a medical image report to an image of a medical image study. One method includes identifying a description of pathology in text included in the medical image report using natural language processing and applying a model to select for the medical image report at least one modality and at least one image included in the at least one medical image study generated by the at least one modality. The method also includes creating a data link between the description of pathology and the at least one image included in the at least one medical image study generated by the at least one modality, and automatically inserting the data link into the medical image report, the data link being selectable to display the at least one image included in the at least one image generated by the at least one modality.

Abstract: Methods and systems for automatically linking entries in a medical image report to an image of a medical image study. One method includes identifying a first plurality of image features referenced in text included in the medical image report using natural language processing, identifying a second plurality of image features in images included in the medical image study, and comparing the first plurality of image features and the second plurality of image features. In response to a first image feature included in the first plurality of image features and a second image feature included in the second plurality of image features matching, the method includes creating a data link between the medical image report and an image included in the medical image study including the second image feature, and automatically inserting the data link into the medical image report, the data link selectable by a user to display the image.

Abstract: Systems and methods for displaying medical studies. A system includes an electronic processor configured to receive a reference medical study, of a patient, having a reference modality identifier and a reference procedure type in metadata of the reference medical study; access additional medical studies of the patient, each additional medical study having a modality identifier, a procedure type, and a study time in metadata of additional medical studies; apply a set of rules to additional medical studies to determine a relevancy level for each additional medical studies from a set of relevancy levels; generate and display a GUI having a patient-centric timeline including a node for each additional medical study, the node positioned along a first dimension of the timeline based on the study time of the additional medical study and positioned along a second dimension of the timeline based on the relevancy level of the additional medical study.