Abstract: A system and method for identifying medical procedure codes and medical diagnosis codes from physician reports that describe a vascular interventional radiology procedure using a combination of natural language processing (NLP) and human medical coders. In one embodiment, the system and method of the present invention creates billing results, and or other documents, that are compliant with applicable legal and policy instructions from the government or a medical institution. Medical billing codes are efficiently extracted from medical reports using a. NLP engine and a graphical user interface optimized for understanding the VasIR medical procedure described in the report.

Abstract: A system and method for identifying medical procedure codes and medical diagnosis codes from physician reports that describe a vascular interventional radiology procedure using a combination of natural language processing (NLP) and human medical coders. In one embodiment, the system and method of the present invention creates billing results, and or other documents, that are compliant with applicable legal and policy instructions from the government or a medical institution. Medical billing codes are efficiently extracted from medical reports using a NLP engine and a graphical user interface optimized for understanding the VasIR medical procedure described in the report.

Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).

Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).

Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).

Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).

Abstract: Methods and systems for searching over large (i.e., Internet scale) data to discover relevant information artifacts based on similar content and/or relationships are disclosed. Improvements over simple keyword and phrase based searching over internet scale data are shown. Search engines providing accurate and contextually relevant search results are disclosed. Users are enabled to identify related documents and information artifacts and quickly, ascertain, via visualization, which of these documents are original, which are derived (or copied) from a source document or information artifact, and which subset is independently generated (i.e., an original document or information artifact).

Abstract: A system and method for identifying medical procedure codes and medical diagnosis codes from physician reports that describe a vascular interventional radiology procedure using a combination of natural language processing (NLP) and human medical coders. In one embodiment, the system and method of the present invention creates billing results, and or other documents, that are compliant with applicable legal and policy instructions from the government or a medical institution. Medical billing codes are efficiently extracted from medical reports using a NLP engine and a graphical user interface optimized for understanding the VasIR medical procedure described in the report.