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Artificial Intelligence-Guided Lung Ultrasound by Nonexperts.
JAMA Cardiol
January 2025
Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois.
Importance: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS.
Objective: To evaluate the ability of AI to guide acquisition of diagnostic-quality LUS images by trained health care professionals (THCPs).
Visual narratives, like comics, at times show depictions of characters' imagination, dreams, or flashbacks, which seem incongruent with the ongoing primary narrative. Such "domain constructions" thus integrate an auxiliary domain (e.g.
View Article and Find Full Text PDFAn online national quality assessment survey of prostate MRI reading: interreader variability in prostate volume measurement and PI-RADS classification.
Eur J Radiol Open
June 2025
Institution of Molecular Medicine and Surgery (MMK), Karolinska Institutet, Stockholm, Sweden.
Background: High-quality assessment of prostate MRI is fundamental in both clinical practice and screening. There is a lack of national level data on variability in prostate volume measurement and PI-RADS assessment. Methods of quality assurance need to be developed.
View Article and Find Full Text PDFFeasibility of AI as first reader in the 4-IN-THE-LUNG-RUN lung cancer screening trial: impact on negative-misclassifications and clinical referral rate.
Eur J Cancer
December 2024
Institute for Diagnostic Accuracy, Groningen, the Netherlands; Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands. Electronic address:
Background: Lung cancer screening (LCS) with low-dose CT (LDCT) reduces lung-cancer-related mortality in high-risk individuals. AI can potentially reduce radiologist workload as first-read-filter by ruling-out negative cases. The feasibility of AI as first reader was evaluated in the European 4-IN-THE-LUNG-RUN (4ITLR) trial, comparing its negative-misclassifications (NMs) to those of radiologists and the impact on referral rates.
View Article and Find Full Text PDFUtility of digital images captured after 4 h of incubation on a microbiology laboratory automation system in guiding the work-up of subcultures from positive blood cultures.
J Clin Microbiol
December 2024
Clinical Microbiology Service, Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Unlabelled: Initial workup [e.g., identification (ID) and/or antimicrobial susceptibility testing (AST)] of bacterial growth on solid media traditionally occurs 16-24 h after sub-culturing of positive blood cultures (BC).
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