Articles with "chest radiograph" as a keyword



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Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists

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Published in 2023 at "JAMA Network Open"

DOI: 10.1001/jamanetworkopen.2022.55113

Abstract: Key Points Question Can natural language processing (NLP) be used to generate chest radiograph (CXR) captions? Findings In this diagnostic study including 74 082 CXR cases labeled with NLP for 23 abnormal signs to train… read more here.

Keywords: chest radiograph; language processing; natural language;
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Does the Use of a Checklist Help Medical Students in the Detection of Abnormalities on a Chest Radiograph?

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Published in 2017 at "Journal of Digital Imaging"

DOI: 10.1007/s10278-017-9979-0

Abstract: The interpretation of chest radiographs is a complex task that is prone to diagnostic error, especially for medical students. The aim of this study is to investigate the extent to which medical students benefit from… read more here.

Keywords: medical students; abnormalities chest; use checklist; checklist ... See more keywords
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Diagnostic accuracy of portable chest radiograph in mechanically ventilated patients when compared with autopsy findings.

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Published in 2020 at "Journal of critical care"

DOI: 10.1016/j.jcrc.2020.06.015

Abstract: PURPOSE Evaluate diagnostic accuracy of portable chest radiograph in mechanically ventilated patients taking autopsy findings as the gold standard and the interobserver agreement among intensivists and radiologists. MATERIALS AND METHODS Retrospective study of 422 patients… read more here.

Keywords: radiograph mechanically; chest radiograph; portable chest; specificity ... See more keywords
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An Unexpected Finding on Chest Radiograph

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Published in 2023 at "Advanced Emergency Nursing Journal"

DOI: 10.1097/tme.0000000000000443

Abstract: A pulmonary cavity is defined as a gas-filled space within a zone of pulmonary consolidation or within a mass or nodule. These cavities can be identified through imaging such as plain chest radiography and computed… read more here.

Keywords: unexpected finding; pneumonia; chest radiograph; finding chest ... See more keywords
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Neonate with persisting respiratory distress after resolution of pneumothorax

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Published in 2019 at "Archives of Disease in Childhood"

DOI: 10.1136/archdischild-2019-317882

Abstract: ­ A preterm baby boy was born in good condition at 31+5 weeks gestation with a birth weight of 1956 g, following a precipitous labour with no prolonged rupture of membranes and no opportunity for administration… read more here.

Keywords: pneumothorax; condition; respiratory distress; day ... See more keywords
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A woman with intermittent heartburn

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Published in 2017 at "British Medical Journal"

DOI: 10.1136/bmj.j1936

Abstract: A 68-year-old woman presented to the hospital with intermittent retrosternal heartburn that had been ongoing for several years. Physical examination and electrocardiogram revealed no abnormalities. A plain chest radiograph was obtained (fig 1⇓). What does… read more here.

Keywords: heartburn; intermittent heartburn; woman intermittent; woman ... See more keywords
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Chest radiograph reading panel performance in a Bangladesh pneumococcal vaccine effectiveness study

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Published in 2019 at "BMJ Open Respiratory Research"

DOI: 10.1136/bmjresp-2018-000393

Abstract: Introduction To evaluate WHO chest radiograph interpretation processes during a pneumococcal vaccine effectiveness study of children aged 3–35 months with suspected pneumonia in Sylhet, Bangladesh. Methods Eight physicians masked to all data were standardised to… read more here.

Keywords: pneumococcal vaccine; primary readers; pep; panel ... See more keywords
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Chest radiograph-based artificial intelligence predictive model for mortality in community-acquired pneumonia

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Published in 2021 at "BMJ Open Respiratory Research"

DOI: 10.1136/bmjresp-2021-001045

Abstract: Background Chest radiograph (CXR) is a basic diagnostic test in community-acquired pneumonia (CAP) with prognostic value. We developed a CXR-based artificial intelligence (AI) model (CAP AI predictive Engine: CAPE) and prospectively evaluated its discrimination for… read more here.

Keywords: cap; community acquired; mortality; model ... See more keywords
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Impact of radiology reports on timely tuberculosis diagnosis

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Published in 2018 at "Postgraduate Medical Journal"

DOI: 10.1136/postgradmedj-2018-135984

Abstract: Purpose As tuberculosis becomes less common in higher income countries, clinician familiarity with the disease is declining. Little is known about how chest radiograph interpretations affect tuberculosis care. We sought to determine how tuberculosis-related terminology… read more here.

Keywords: time; radiology; tuberculosis; antituberculous treatment ... See more keywords
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P11 COVID 19: Utility of plain chest radiograph scoring system to predict disease severity and outcomes

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Published in 2021 at "Thorax"

DOI: 10.1136/thorax-2020-btsabstracts.156

Abstract: IntroductionPlain chest radiograph (CXR) is the most common imaging modality used to evaluate respiratory symptoms CXR severity scoring has been shown to be an independent predictor of need for hospital admission and intubation and mechanical… read more here.

Keywords: chest radiograph; disease; severity; cxr changes ... See more keywords
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Autonomous Chest Radiograph Reporting Using AI: Estimation of Clinical Impact.

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Published in 2023 at "Radiology"

DOI: 10.1148/radiol.222268

Abstract: Background Automated interpretation of normal chest radiographs could alleviate the workload of radiologists. However, the performance of such an artificial intelligence (AI) tool compared with clinical radiology reports has not been established. Purpose To perform… read more here.

Keywords: radiology; posteroanterior chest; chest radiograph; chest radiographs ... See more keywords