Natural language processing pipeline to extract prostate cancer-related information from clinical notes.

Hirotsugu NakaiGarima SumanDaniel A AdamoPatrick J NavinCandice A BookwalterJordan D LeGoutFrank K ChenClinton V WellnitzAlvin C SilvaJohn V ThomasAkira KawashimaJungwei W FanAdam T FroemmingDerek J LomasMitchell R HumphreysChandler DoraPanagiotis KorfiatisNaoki Takahashi

Published in: European radiology (2024)

When interpreting prostate MRI, it is necessary to extract prostate cancer-related information from clinical notes. This pipeline extracted the presence of prostate cancer risk factors with higher sensitivity than radiologists. Natural language processing may help radiologists efficiently gather relevant prostate cancer-related text information.

Keyphrases

prostate cancer
radical prostatectomy
risk factors
health information
autism spectrum disorder
artificial intelligence
oxidative stress
magnetic resonance imaging
anti inflammatory
healthcare
contrast enhanced
magnetic resonance
computed tomography
diffusion weighted imaging