Method and system for intelligent linking of medical data

摘要

Described herein are systems and methods for intelligently combining medical findings received across different modalities. The system comprises an extraction module extracting contextual information from an image of an area of interest including annotations, a feature selection module building a current feature vector using the extracted contextual information and the annotations, and a referencing engine computing a similarity score between the current feature vector and a prior feature vector of a prior image. The method comprises extracting contextual information from an image of an area of interest including annotations, building a current feature vector using the extracted contextual information and the annotations, and computing a similarity score between the current feature vector and a prior feature vector of a prior image.

主权项

1. A system, comprising:
an extraction module extracting contextual information from an image of an area of interest of a patient including annotations; a feature selection module building a current feature vector using the extracted contextual information and the annotations; a referencing engine computing a similarity score between the current feature vector and a prior feature vector of a prior image of the patient; and a presentation engine providing a display based on the similarity score, wherein the similarity score (D) is computed as a weighted (mi) sum of distances (di) between each element of the current feature vector and the prior feature vector, wherein:
D=Σmi*di; andwherein distances (di) of annotation features (ai) and (bi), and contextual features (a′i) and (b′i) are computed as:
di=eai−bi*ea′i−b′i.