A flagging system to identify blood specimens requiring a blood film review and/or differential leukocyte count is described. Its utility in avoiding unnecessary differential counts particularly in outpatients is given. Significant reductions in workload can be anticipated without deterioration of patient care.
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Eur J Radiol
January 2025
School of Biomedical Engineering & Imaging Sciences, King's College London, London, the United Kingdom of Great Britain and Northern Ireland; Department of Neuroradiology, King's College Hospital National Health Service Foundation Trust, London, the United Kingdom of Great Britain and Northern Ireland. Electronic address:
Artificial intelligence (AI) tools can triage radiology scans to streamline the patient pathway and also relieve clinician workload. Validated AI tools can mitigate the delays in reporting scans by flagging time-sensitive and actionable findings. In this study, we aim to investigate current stakeholder perspectives and identify obstacles to integrating AI in clinical pathways.
View Article and Find Full Text PDFJ Am Coll Surg
January 2025
Department of Thoracic Surgery. Vanderbilt University Medical Center, 1313 21st Avenue South, Nashville, TN 37232.
Background: Artificial intelligence (AI)-powered platforms may be used to ensure that clinically significant lung nodules receive appropriate management. We studied the impact of a commercially available AI natural language processing tool on detection of clinically significant indeterminate pulmonary nodules (IPNs) based on radiology reports and provision of guideline-consistent care.
Study Design: All computed tomography (CT) scans performed at a single tertiary care center in the outpatient or emergency room setting between 20-Feb-2024 and 20-March-2024 were processed by the AI natural language processing algorithm.
Eur Radiol
January 2025
Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.
Objectives: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagnostic performance of a recently updated deep learning model (CorEx-2.0) for quantifying coronary stenosis, compared separately with two expert CCTA readers as references.
View Article and Find Full Text PDFInfluencers are content creators who post online about their lives and can amass a significant following. Influencers can be dangerous by negatively affecting their followers' body image and marketing products in a deceptive way. The limited academic writings which consider influencer regulation note an incongruency between influencer conduct and the corresponding regulatory system.
View Article and Find Full Text PDFMuscle Nerve
January 2025
Service de Neurologie, Centre de Référence Neuropathies Périphériques Rares, Centre Hospitalier Universitaire de Limoges, Limoges, France.
Introduction/aims: Neurolymphomatosis is a hematological condition defined by the direct infiltration of malignant lymphomatous cells into the peripheral nervous system. Since nerve conduction studies may disclose demyelinating features, clinicians may misdiagnose neurolymphomatosis as chronic inflammatory demyelinating polyneuropathy (CIDP). This study aimed to determine whether patients with neurolymphomatosis met the 2021 revised criteria for CIDP.
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