Value-added opportunistic CT screening: state of the art
PJ Pickhardt - Radiology, 2022 - pubs.rsna.org
Opportunistic CT screening leverages robust imaging data embedded within abdominal and
thoracic scans that are generally unrelated to the specific clinical indication and have …
thoracic scans that are generally unrelated to the specific clinical indication and have …
Opportunistic Screening: Radiology Scientific Expert Panel
Radiologic tests often contain rich imaging data not relevant to the clinical indication.
Opportunistic screening refers to the practice of systematically leveraging these incidental …
Opportunistic screening refers to the practice of systematically leveraging these incidental …
A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans
Purpose Early detection and size quantification of renal calculi are important for optimizing
treatment and preventing severe kidney stone disease. Prior work has shown that volumetric …
treatment and preventing severe kidney stone disease. Prior work has shown that volumetric …
Opportunistic screening at abdominal CT: use of automated body composition biomarkers for added cardiometabolic value
Abdominal CT is a frequently performed imaging examination for a wide variety of clinical
indications. In addition to the immediate reason for scanning, each CT examination contains …
indications. In addition to the immediate reason for scanning, each CT examination contains …
Abdominal CT body composition thresholds using automated AI tools for predicting 10-year adverse outcomes
Background CT-based body composition measures derived from fully automated artificial
intelligence tools are promising for opportunistic screening. However, body composition …
intelligence tools are promising for opportunistic screening. However, body composition …
CT-derived body composition assessment as a prognostic tool in oncologic patients: from opportunistic research to artificial intelligence–based clinical implementation
Please see the Editorial Comment by James S. Jelinek discussing this article. CT-based
body composition measures are well established in research settings as prognostic markers …
body composition measures are well established in research settings as prognostic markers …
Intrapatient changes in CT-based body composition after initiation of semaglutide (glucagon-like peptide-1 receptor agonist) therapy
BACKGROUND. The long-acting glucagon-like peptide-1 receptor agonist semaglutide is
used to treat type 2 diabetes or obesity in adults. Clinical trials have observed associations …
used to treat type 2 diabetes or obesity in adults. Clinical trials have observed associations …
Fully automated abdominal CT biomarkers for type 2 diabetes using deep learning
Background CT biomarkers both inside and outside the pancreas can potentially be used to
diagnose type 2 diabetes mellitus. Previous studies on this topic have shown significant …
diagnose type 2 diabetes mellitus. Previous studies on this topic have shown significant …
Artificial intelligence and machine learning in aortic disease
Multiple ML techniques have potential for characterization and risk prediction of aortic
aneurysm, dissection, coarctation, and atherosclerotic disease on computed tomography …
aneurysm, dissection, coarctation, and atherosclerotic disease on computed tomography …
Clinical artificial intelligence applications in radiology: chest and abdomen
S Lee, RM Summers - Radiologic Clinics, 2021 - radiologic.theclinics.com
How wonderful would it be if an automated assistant would go through our daily chest
radiographs and sort out the ones that need our immediate attention; or maybe pick out the …
radiographs and sort out the ones that need our immediate attention; or maybe pick out the …