Natural language processing may automate data extraction from radiologic reports
1. Natural language processing (NLP) applications may rapidly extract meaningful information from unstructured, free-text radiology reports through a variety of...
Interested in all things related to healthcare innovation and technology. Graduate of Princeton and University of Pennsylvania, currently specializing in radiology at UCSF, and interested in developing new technologies that simplify and streamline access to healthcare.
1. Natural language processing (NLP) applications may rapidly extract meaningful information from unstructured, free-text radiology reports through a variety of...
1. In patients with suspected appendicitis and equivocal ultrasound results, a low clinical score such as the Alvarado or Pediatric...
1. There is an increase in hippocampal myeloperoxidase (MPO) activity in a murine model of epileptogenesis, which can be imaged...
1. The number and volume of cerebral microhemorrhages (CMHs) due to traumatic brain injury (TBI) in military service members decreased...
1. Positron emission tomography and magnetic resonance imaging (PET/MRI) was not as sensitive as PET and computed tomography (PET/CT) for...
1. Computed tomography derived imaging characteristics were correlated with disease specific gene expression to create a radiogenomic based surrogate of...
1. Meta-analysis suggests that there is no difference in risk of access site hematoma, bleeding complication, or mortality between interrupted...
1. Women with stimulant dependence after prolonged abstinence had significant changes in gray matter volume that were not observed in...
1. The use of large bore sheaths in patients who underwent mechanical thrombectomy for acute ischemic stroke was associated with...
1. Timing invariant computed tomography angiography (CTA) derived from computed tomography perfusion can reliably detect large artery occlusions in ischemic...
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