Machine learning concepts, concerns and opportunities for a pediatric radiologist.
Moore, Michael M; Slonimsky, Einat; Long, Aaron D; Sze, Raymond W; Iyer, Ramesh S.
; 49(4): 509-516, 2019 04.
Artigo em Inglês | MEDLINE | ID: mdl-30923883
Current Applications and Future Impact of Machine Learning in Radiology.
Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology Reports.
Using uncertainty to link and rank evidence from biomedical literature for model curation.
Enhancing Patient Safety Event Reporting by K-nearest Neighbor Classifier.
Scoring Patient Fall Reports Using Quality Rubric and Machine Learning.
Virtual radiology rounds: adding value in the digital era.
Comparative effectiveness research in pediatric radiology.
An automated pipeline for analyzing medication event reports in clinical settings.
Integrated pillar scatterers for speeding up classification of cell holograms.
Virtual Sensors for Optimal Integration of Human Activity Data.