Able to processes all types of medical text with high precision and recall aided by deep learning models, DxPro can automatically extract, categorize, and code medical entities within narrative prose according to custom and standard ontologies (e.g. RadLex, SNOMED, MEDCIN, etc.)
DxPro can also recognize and understand abbreviations, colloquialisms, assertions (e.g. status, certainty, ambiguity, temporal references, etc.), and other relationships and comorbidities within the narrative text of diagnostic orders and reports to produce a complete picture of patient care.