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1 aboratory signs and absence of infiltrate on chest radiograph).
2 e localization of the aortic valve on supine chest radiograph.
3 consistent with pulmonary oedema on frontal chest radiograph.
4 putum smear result, and extent of disease on chest radiograph.
5 oracic echocardiography is equivalent to the chest radiograph.
6 nsthoracic echocardiography and confirmed by chest radiograph.
7 ss expensive than the routine postprocedural chest radiograph.
8 to simulate the pulmonary anatomy seen on a chest radiograph.
9 sician-diagnosed pneumonia, without use of a chest radiograph.
10 al (n = 26) abnormalities on the most recent chest radiograph.
11 ipsilateral IJ as detected by postprocedure chest radiograph.
12 jugular venous pressure, or cardiomegaly on chest radiograph.
13 e in the infant chest is air trapping on the chest radiograph.
14 chest radiographs first evaluate the infant chest radiograph.
15 ediastinal widening or pleural effusion on a chest radiograph.
16 e for the CT scan compared with that for one chest radiograph.
17 e for one CT scan compared with that for one chest radiograph.
18 trasound significantly outperformed portable chest radiograph.
19 a new, noncalcified pulmonary nodule seen on chest radiograph.
20 ard, which consisted of 1007 posteroanterior chest radiographs.
21 s (DCNNs) for detecting tuberculosis (TB) on chest radiographs.
22 There were no arterial placements found on chest radiographs.
23 Study radiologists independently reviewed chest radiographs.
24 RA) results, normal examinations, and normal chest radiographs.
25 ); 20 patients (87%) presented with abnormal chest radiographs.
26 uracy for detection of small lung cancers on chest radiographs.
27 lation that would benefit from daily routine chest radiographs.
28 bnormalities systematically reviewed initial chest radiographs.
29 nction test results; electrocardiograms; and chest radiographs.
30 57% (P = 0.006) but not orders for portable chest radiographs.
31 available were seen retrospectively on prior chest radiographs.
32 19) pneumonia from non-COVID-19 pneumonia on chest radiographs.
33 nificantly less likely to have cavitation on chest radiographs.
34 side studies, with 87% of patients receiving chest radiographs.
35 ty, nodule or mass, and fracture) on frontal chest radiographs.
36 ystem for detection of COVID-19 pneumonia on chest radiographs.
37 ful for automated prioritization of abnormal chest radiographs.
38 rformance automated binary classification of chest radiographs.
39 ions were used to classify clinical LRTI and chest radiographs.
41 ree hundred posteroanterior (PA) and lateral chest radiographs (189 radiographs with negative finding
44 -certified radiologists who evaluated supine chest radiographs according to side-separate reading sco
45 ly sized collection of prospectively labeled chest radiographs achieved high diagnostic performance i
47 acquired using one manufacturer (Siemens) to chest radiographs acquired using another (Philips), prod
48 le-GAN to translate texture information from chest radiographs acquired using one manufacturer (Sieme
51 gin H1N1 influenza, is largely restricted to chest radiograph and computed tomography (CT), which can
52 (33%) of the patients without infiltrate on chest radiograph and excluded CAP in 56 (29.8%) of the 1
58 ive pulmonary vascular abnormalities seen on chest radiographs and computed tomography (CT) scans in
59 ol and Prevention criteria for EVALI and had chest radiographs and CT images available at initial pre
61 seases are included, and pictorial examples (chest radiographs and CT scans) are provided for the maj
63 fied these radiologist-missed cancers on the chest radiographs and graded them for visibility, locati
65 orotic fractures, such as spine fractures on chest radiographs and sagittal multidetector CT reconstr
66 o the previous Mayo Lung Project, which used chest radiographs and sputum cytology for screening high
67 oracic vertebral body on frontal and lateral chest radiographs and to a line drawn between the anteri
69 tion of two negative sputum smears, a normal chest radiograph, and a CD4+ cell count of 350 or more p
70 pneumonia were no fever, no consolidation on chest radiograph, and absolute neutrophil count <5 x 109
72 ein angiography, magnetic resonance imaging, chest radiograph, and chest computed tomography) togethe
73 patients had pulmonary ultrasound, portable chest radiograph, and chest CT performed within 24 hours
74 he lung for carbon monoxide, pulse oximetry, chest radiograph, and high-resolution thoracic computeri
75 acute heart failure, dyspnoea, congestion on chest radiograph, and increased brain natriuretic peptid
77 eline period, unadjusted arterial blood gas, chest radiograph, and RBC utilization in the interventio
79 ith 128 fewer arterial blood gases, 73 fewer chest radiographs, and 16 fewer RBCs per 100 patients (p
83 laboratory data, electrocardiograms (EKGs), chest radiographs, and pulmonary function tests have bee
85 decrease the avoidable arterial blood gases, chest radiographs, and RBC utilization on utilization of
87 fection; multiple infiltrates or cavities on chest radiograph; and comatose state, intubation, receip
89 e (aPR, 3.02; 95% CI, 2.60-3.52), and normal chest radiograph (aPR, 1.88; 95% CI, 1.63-2.16) and was
91 wo experienced radiologists categorized each chest radiograph as characteristic, nonspecific, or nega
92 experienced radiologists who identified fake chest radiographs as belonging to a target manufacturer
93 inputs, ML classifiers categorized the fake chest radiographs as belonging to the target manufacture
94 standard, the AI system correctly classified chest radiographs as COVID-19 pneumonia with an area und
96 data set was used to train CNNs to classify chest radiographs as normal or abnormal before evaluatio
97 gnostic performance in the classification of chest radiographs as normal or abnormal; this function m
98 bgroup of men with normal lung parenchyma on chest radiograph at baseline, there was evidence of expo
99 ortality; and percentage of opacification on chest radiograph at drain removal and at 30, 90, and 180
100 hypothesis that reading perfusion scans with chest radiographs but without ventilation scans, and cat
101 dentifying lung cancers previously missed on chest radiographs by radiologists, with histopathologic
102 ut (ie, milliampere seconds) of about 50%, a chest radiograph can be obtained with image quality appr
103 Neither clinical symptoms nor findings on chest radiographs can reliably distinguish children with
107 esented with increased severity on admission chest radiographs compared with White or non-Hispanic pa
108 s involving ionizing radiation that included chest radiograph, computed tomogram scans, radionuclide
109 s (culture positive), probable tuberculosis (chest radiograph consistent), possible tuberculosis (che
110 The mean time between catheter insertion and chest radiograph control (28.3 min) was clearly longer t
114 AAP, NA-LRI and overall rates of visits with chest radiograph (CXR) examination in the pediatrics eme
115 essed CAAP, NA-LRIs, and overall visits with chest radiograph (CXR) examination rates in the pediatri
117 n both microbiologically confirmed cases and chest radiograph (CXR)-positive cases compared to contro
122 2 matched V/Q defects with regionally normal chest radiograph, (d) 1-3 small segmental perfusion defe
123 icly available National Institutes of Health chest radiograph dataset comprising 112 120 chest radiog
127 identally on routine imaging studies such as chest radiograph, echocardiography, chest computed tomog
129 ormance for the detection of lung nodules on chest radiographs, even when baseline performance was op
130 ng clinical decision support tool for supine chest radiograph examinations in the clinical routine wi
131 ation criteria with bilateral infiltrates on chest radiograph experience a more intense early inflamm
132 l for visualizing neural network learning of chest radiograph features in congestive heart failure (C
135 vel models for detecting clinically relevant chest radiograph findings were developed for this study
136 reement of pulmonary ultrasound and portable chest radiograph findings with correlating lobe ("lobe-s
137 and general radiologists familiar with adult chest radiographs first evaluate the infant chest radiog
138 tuberculin skin test, syphilis serology, and chest radiograph) followed by more complex investigation
139 linically relevant complications detected on chest radiographs following ultrasound-guided right inte
140 linically relevant complications detected on chest radiographs following ultrasound-guided right inte
142 st between pulmonary ultrasound and portable chest radiograph for interstitial findings (86% vs 29%,
143 ffective, expeditious alternative to routine chest radiograph for position controls of central venous
144 trained cardiothoracic radiologists examined chest radiographs for opacities and assigned a clinicall
145 al low-dose CT assessments with three annual chest radiographs for the early detection of lung cancer
146 spective study, 22 960 de-identified frontal chest radiographs from 11 153 patients (average age, 60.
147 for detecting TB-associated abnormalities in chest radiographs from outpatients in Nepal and Cameroon
148 ving any WHO danger sign or consolidation on chest radiograph had an NPV of 96.8% for adverse pneumon
151 , 1.15 to 5.63; P=0.02), pleural effusion on chest radiograph (HR, 2.56; 95% CI, 1.18 to 5.58; P=0.02
152 An automated deep-learning approach based on chest radiograph images may identify more smokers at hig
153 of the aortic valve location on plain supine chest radiograph images, which can be used to evaluate i
158 as associated with alveolar consolidation on chest radiograph in nonconfirmed cases, and with high (>
160 rials and Methods A total of 103 489 frontal chest radiographs in 46 712 patients acquired from Janua
161 ndomly sampled test data set composed of 500 chest radiographs in 500 patients was evaluated by the C
163 9-Net, was trained, validated, and tested on chest radiographs in patients with and without COVID-19
164 ystem (CAD4COVID-XRay) was trained on 24 678 chest radiographs, including 1540 used only for validati
165 diograph consistent), possible tuberculosis (chest radiograph inconsistent), or not tuberculosis (imp
166 All patients had dyspnoea, congestion on chest radiograph, increased brain natriuretic peptide (B
167 evelop and evaluate deep learning models for chest radiograph interpretation by using radiologist-adj
169 Purpose To investigate the development of chest radiograph interpretation skill through medical tr
170 key aspects such as antibiotic pretreatment, chest radiograph interpretation, utility of induced sput
174 Another objective was to point out that chest radiograph is not sufficient to depict the evoluti
176 two reviewers for detecting abnormalities on chest radiographs (kappa = 0.99; 95% confidence interval
177 sion Features of congestive heart failure on chest radiographs learned by neural networks can be iden
178 e use of CBCs, chemistry panels, bone scans, chest radiographs, liver ultrasounds, computed tomograph
179 blood counts, chemistry panels, bone scans, chest radiographs, liver ultrasounds, pelvic ultrasounds
180 The absence of a new infiltrate on a plain chest radiograph lowers the likelihood of VAP (summary L
183 nit, early CT scan findings complementary to chest radiograph markedly affect both diagnosis and clin
185 h COVID-19 pneumonia and 3148 patients (5300 chest radiographs; mean age, 64 years +/- 18; 1578 men)
186 as the severity of lung disease on admission chest radiographs, measured by using the modified Radiog
187 ligence (AI) algorithm to detect COVID-19 on chest radiographs might be useful for triage or infectio
188 nnual computed tomography (CT, n = 9,357) or chest radiograph (n = 9,357) screening and monitored for
189 consisted of a set of continuously acquired chest radiographs (n = 454) obtained in patients suspect
190 empirical evidence, the decision to order a chest radiograph needs to rely on expert opinion in seek
191 1.03-1.27] per cycle threshold [CT]), and a chest radiograph not suggestive of active tuberculosis (
192 recent previous tuberculosis, high CT, and a chest radiograph not suggestive of active tuberculosis.
196 sarcoidosis after evaluation of an abnormal chest radiograph obtained during work-up of a recently d
197 and mid to lower lung zone distribution on a chest radiograph obtained in the setting of pandemic COV
198 from 1995 to 2006 at two institutions, each chest radiograph obtained prior to tumor discovery was e
200 ds In a retrospective study, 216 431 frontal chest radiographs obtained between 1998 and 2012 were pr
201 firmed S-OIV infection and available initial chest radiographs obtained between April 2009 and Octobe
202 am was applied to 34 posteroanterior digital chest radiographs obtained in 34 patients (21 men, 13 wo
204 s independently reviewed frontal and lateral chest radiographs obtained in young patients 24 hours af
209 ), for automated real-time triaging of adult chest radiographs on the basis of the urgency of imaging
211 equired obstructive spirometry, emphysema on chest radiograph or computed tomography, or physician di
212 ual clinical practice-eg, 50 (73%) ordered a chest radiograph or sputum test during the vignette comp
214 antimicrobial use (P = 0.032), and number of chest radiographs (P = 0.005), when controlling for pote
217 evaluation (ie, tuberculin skin test and/or chest radiograph) per prevalent case diagnosed; number o
218 Sixty-six percent (547/833) of those with chest radiographs performed had infiltrates and 31% (340
220 , 76%; 95% CI, 62%-90%), and cardiomegaly on chest radiograph (pooled sensitivity, 89%; 95% CI, 73%-1
224 s achieved by additionally rating the supine chest radiograph reading score 1 as positive for pneumon
225 0.78-0.93) when considering only the supine chest radiograph reading score 2 as positive for pneumon
226 has become a standard of care, postinsertion chest radiograph remains the gold standard to confirm ce
228 "edema" or "bilateral + infiltrates" on the chest radiograph report, a tidal volume of >8 mL/kg pred
230 nderstanding of the appearance of the infant chest radiograph requires an understanding of the anatom
231 t for both pulmonary ultrasound and portable chest radiograph respectively (right lung: 92.5% vs 65.7
233 ed between pulmonary ultrasound and portable chest radiograph (right: 99% vs 87%; p = 0.009 and left:
235 iomegaly, interstitial or pulmonary edema on chest radiograph, S(3) heart sound, tachycardia) plus le
237 nd clinical condition (respiratory function, chest radiograph score, or Shwachman clinical score).
239 readers reviewed each worker's longitudinal chest radiograph series in reverse chronologic order and
240 rs of hospital admission (n = 145, 43%) were chest radiograph severity score of 2 or more (odds ratio
242 19 presenting to the emergency department, a chest radiograph severity score was predictive of risk f
243 es (AUCs): 0.80 (95% CI: 0.73, 0.88) for the chest radiograph severity score, 0.76 (95% CI: 0.68, 0.8
244 Purpose To analyze the prognostic value of a chest radiograph severity scoring system for younger (no
249 er the cycle-GAN's texture translation (fake chest radiographs), showed decreased intermanufacturer R
251 of anticentromere antibodies, hypertension, chest radiograph suggestive of pulmonary fibrosis, and l
253 t in all, many had residual abnormalities on chest radiographs (ten [67%] of 15) and pulmonary functi
254 ve a higher severity of disease on admission chest radiographs than White or non-Hispanic patients, a
255 ding and overlying a subtle lung nodule on a chest radiograph that are created by the projection of a
256 ARDS diagnosis relies on oxygenation and the chest radiograph that might be directly influenced by th
258 or primary interpretation, full-size digital chest radiographs that have been JPEG compressed to 10:1
259 learning AI algorithm to detect COVID-19 on chest radiographs, that was trained and tested on a larg
265 ases of tuberculosis (i.e., cases in which a chest radiograph was suggestive of active tuberculosis b
266 nactive tuberculosis (i.e., cases in which a chest radiograph was suggestive of tuberculosis that was
267 the detection of coronavirus disease 2019 on chest radiographs was comparable with that of six indepe
270 Eleven (48%) of 23 cancers for which prior chest radiographs were available were seen retrospective
273 andardized procedure notes and postprocedure chest radiographs were extracted and individually review
283 lity was calculated, and echocardiograms and chest radiographs were performed on all study patients.
289 itoring, arterial gas analysis, and portable chest radiographs were reviewed to identify the timing o
290 graphy and lung ultrasound is noninferior to chest radiograph when used to accurately assess central
291 t pulmonary ultrasound protocol and portable chest radiograph with chest CT for localization of patho
292 luid-density posterior mediastinal lesion on chest radiograph with destruction of the vertebral body
293 Lung Screening Trial (NLST), which compared chest radiograph with spiral computed tomographic (CT) s
294 orithm, detected coronavirus disease 2019 on chest radiographs with a performance similar to that of
295 ts are proficient in differentiating between chest radiographs with and without symptoms of pneumonia
297 lusion Automated real-time triaging of adult chest radiographs with use of an artificial intelligence
298 orks developed to detect COVID-19 on frontal chest radiographs, with reverse-transcription polymerase
299 urrent illness such as cough and an abnormal chest radiograph without antecedent tuberculosis or pneu
300 ning Trial, which compared CT screening with chest radiograph, yielded a mortality advantage of 20% t