CPC G16H 15/00 (2018.01) [G16H 10/60 (2018.01); G16H 20/40 (2018.01); G16H 40/63 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01)] | 18 Claims |
1. A method for automatically generating an impression section of a radiology report, the method comprising:
receiving:
a radiologist identifier associated with a radiologist; and
a set of finding inputs;
with a trained machine learning model comprising a set of encoders and a set of decoders:
determining a radiologist style matrix based on the radiologist identifier, wherein the radiologist style matrix is determined based on a length metric associated with a set of impression sections in a set of manually generated radiology reports, the set of manually generated radiology reports generated by the radiologist;
referencing an ontology database to determine a set of concepts associated with the set of finding inputs;
determining, with the set of encoders, a context matrix based on the set of finding inputs and the set of concepts;
generating, with the set of decoders, the impression section of the radiology report based on the context matrix and the radiologist style matrix, wherein the impression section is configured to mimic a writing style of the radiologist;
retraining the trained machine learning model based on the generated impression section of the radiology report to determine a retrained machine learning model; and
with the retrained machine learning model, automatically generating a second impression section of a second radiology report associated with the radiologist.
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