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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.
40                   Participants were shown 30 chest radiographs, 14 of which had a pneumothorax, and w
41 ree hundred posteroanterior (PA) and lateral chest radiographs (189 radiographs with negative finding
42  (79%) and interstitial process for portable chest radiograph (29%).
43 n for both pulmonary ultrasound and portable chest radiograph (96% and 73%, respectively).
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
46 470 388 fully anonymized institutional adult chest radiographs acquired from 2007 to 2017.
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
49                                      Routine chest radiograph after this common procedure is an unnec
50                          RFs, extracted from chest radiographs after the cycle-GAN's texture translat
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
53 racterized by ill-defined infiltrates on the chest radiograph and hypoxia.
54                      AAS included an upright chest radiograph and upright and supine abdominal radiog
55 essed by independent review of daily digital chest radiographs and arterial blood gases.
56                                          All chest radiographs and clinical outcomes of patients, inc
57                                              Chest radiographs and computed tomographic (CT) scans ob
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
60              Distinctive vascular lesions on chest radiographs and CT scans in Eisenmenger syndrome a
61 seases are included, and pictorial examples (chest radiographs and CT scans) are provided for the maj
62 stinctive vascular abnormalities observed on chest radiographs and CT scans.
63 fied these radiologist-missed cancers on the chest radiographs and graded them for visibility, locati
64                                              Chest radiographs and high-resolution computed tomograph
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
68 t African sites, 206 (74%) had cavitation on chest radiograph, and 60 (22%) had HIV infection.
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
71                       Applicants underwent a chest radiograph, and any with results suggestive of tub
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
76 apillary refill, atelectasis or pneumonia on chest radiograph, and pleural effusion.
77 eline period, unadjusted arterial blood gas, chest radiograph, and RBC utilization in the interventio
78 ial incentives targeting arterial blood gas, chest radiograph, and RBC utilization.
79 ith 128 fewer arterial blood gases, 73 fewer chest radiographs, and 16 fewer RBCs per 100 patients (p
80 agnosis, an interpretable perfusion scan and chest radiographs, and a Wells' score.
81 p with daily complete blood count, scheduled chest radiographs, and biopsies.
82                           Thoracic CT scans, chest radiographs, and clinical data were reviewed for 2
83  laboratory data, electrocardiograms (EKGs), chest radiographs, and pulmonary function tests have bee
84                  Arterial blood gas testing, chest radiographs, and RBC transfusions provide an impor
85 decrease the avoidable arterial blood gases, chest radiographs, and RBC utilization on utilization of
86 e number of orders for arterial blood gases, chest radiographs, and RBCs per patient.
87 fection; multiple infiltrates or cavities on chest radiograph; and comatose state, intubation, receip
88                                              Chest radiograph approximated accurate catheter tip posi
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
90                        Routine postprocedure chest radiographs are considered standard practice.
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
95                    Using cycle-GAN-generated chest radiographs as inputs, ML classifiers categorized
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
104                                              Chest radiograph categorization was compared against RT-
105 lysis included 79 185 matched A and B Reader chest radiograph classifications.
106                                  The initial chest radiographs, clinical variables, and outcomes, inc
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
111              Similarly, patient care items ("chest radiograph correctly interpreted"; "time to start
112                Pulmonary infiltrates seen on chest radiographs corresponded to intraalveolar edema an
113                          For the 500 sampled chest radiographs, CV19-Net achieved an AUC of 0.94 (95%
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
116                                              Chest radiograph (CXR) findings were classified as showi
117 n both microbiologically confirmed cases and chest radiograph (CXR)-positive cases compared to contro
118 y (CT) of the chest (98.0% and 100%) and for chest radiograph (CXR; 57.6% and 100%).
119                                              Chest radiographs (CXRs) are a valuable diagnostic tool
120                                              Chest radiographs (CXRs) are frequently used to assess p
121                                              Chest radiographs (CXRs) were graded from 0 to 6 (0, no
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
124 ed after a transient ischemic attack, when a chest radiograph demonstrated a right lung mass.
125                                      Lateral chest radiograph demonstrated lytic destruction of the x
126                        Annual screening with chest radiograph did not reduce lung cancer mortality co
127 identally on routine imaging studies such as chest radiograph, echocardiography, chest computed tomog
128                          Of the 100 portable chest radiographs evaluated by three reviewers, two revi
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
133              Teamwork behavior items (e.g., "chest radiograph findings communicated to team" and "tea
134      Radiologists were blinded to the supine chest radiograph findings during CT interpretation.
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
141 oup were offered annual posteroanterior view chest radiograph for 4 years.
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
149               Background Disease severity on chest radiographs has been associated with higher risk o
150                                            A chest radiograph helps localise the site and possible co
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
154 etermine the aortic valve location on supine chest radiograph images.
155                                 Symptoms and chest radiographs improved, and amounts of macrophage in
156  position of catheter was then controlled by chest radiograph in all cases.
157 st that most influence the appearance of the chest radiograph in infants with cough and fever.
158 as associated with alveolar consolidation on chest radiograph in nonconfirmed cases, and with high (>
159 on could be easily monitored on plain supine chest radiograph in the ICU.
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
162                                      Initial chest radiographs in children with a mild and self-limit
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
168                                   Conclusion Chest radiograph interpretation skill increased with exp
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
171                                          All chest radiographs interpreted as positive were reviewed
172       Location of an intrathoracic lesion on chest radiograph is facilitated by application of 'silho
173                                              Chest radiograph is key in establishing parenchymal lung
174      Another objective was to point out that chest radiograph is not sufficient to depict the evoluti
175 ity of screening for lung cancer with modern chest radiographs is unknown.
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
181 1), anemia (LR range, 2.2-3.3), and abnormal chest radiograph (LR range, 2.5-3.8).
182  radiologists had difficulty recognizing the chest radiographs' manufacturer.
183 nit, early CT scan findings complementary to chest radiograph markedly affect both diagnosis and clin
184       Results A total of 2060 patients (5806 chest radiographs; mean age, 62 years +/- 16 [standard d
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.
193                                        Prior chest radiographs (not shown) were normal, and angiograp
194                                            A chest radiograph obtained at the outside hospital prompt
195                                            A chest radiograph obtained at the time of physical examin
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
199                          Multiple sequential chest radiographs obtained between 1955 and 2004 in 84 w
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
203 -cm lung regions were extracted from digital chest radiographs obtained in healthy subjects.
204 s independently reviewed frontal and lateral chest radiographs obtained in young patients 24 hours af
205                             Standard and DES chest radiographs of 50 patients with 55 confirmed prima
206 eaders reinterpreted the perfusion scans and chest radiographs of eligible patients.
207                    Supine anterior-posterior chest radiographs of patients with an aortic valve prost
208                                Postoperative chest radiographs on postoperative days 1, 3, and 8 (Fig
209 ), for automated real-time triaging of adult chest radiographs on the basis of the urgency of imaging
210 ible active tuberculosis (most with abnormal chest radiographs, only 18% symptomatic).
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
213                                Any follow-up chest radiographs or computed tomographic images that ha
214 antimicrobial use (P = 0.032), and number of chest radiographs (P = 0.005), when controlling for pote
215 onent tests (P < 0.001) and 16% for portable chest radiographs (P = 0.03).
216                         For the non-COVID-19 chest radiographs, patients with pneumonia who underwent
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
219                         Of 451 patients with chest radiographs performed, 195 (43%) had pneumonia (sp
220 , 76%; 95% CI, 62%-90%), and cardiomegaly on chest radiograph (pooled sensitivity, 89%; 95% CI, 73%-1
221                                      For the chest radiographs positive for COVID-19, patients with r
222          Vietnamese immigrants with abnormal chest radiographs provided up to three sputum specimens,
223 sitively with extent of lung infiltration on chest radiographs (r = 0.483; p < 0.05).
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
227 terpretation of lung opacities in ICU supine chest radiographs remains challenging.
228  "edema" or "bilateral + infiltrates" on the chest radiograph report, a tidal volume of >8 mL/kg pred
229 a (validated by review of medical records or chest radiograph reports).
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
232                                              Chest radiograph revealed a parenchymal infiltrate in 18
233 ed between pulmonary ultrasound and portable chest radiograph (right: 99% vs 87%; p = 0.009 and left:
234                                              Chest radiograph ruled out pneumothorax in 137 of 137 pa
235 iomegaly, interstitial or pulmonary edema on chest radiograph, S(3) heart sound, tachycardia) plus le
236          Among patients who were admitted, a chest radiograph score of 3 or more was an independent p
237 nd clinical condition (respiratory function, chest radiograph score, or Shwachman clinical score).
238 he relationship between clinical parameters, chest radiograph scores, and patient outcomes.
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
241                     The model trained on the chest radiograph severity score produced the following a
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
245                                    The first chest radiograph showed significantly fewer abnormalitie
246                                      Fifteen chest radiographs showed major abnormalities.
247                                              Chest radiographs showed mild pulmonary edema with a sma
248                                              Chest radiographs showed pulmonary infiltrates in all pa
249 er the cycle-GAN's texture translation (fake chest radiographs), showed decreased intermanufacturer R
250 r antibodies, and double-stranded DNA, and a chest radiograph showing pleural fluid.
251  of anticentromere antibodies, hypertension, chest radiograph suggestive of pulmonary fibrosis, and l
252                         Lobar infiltrates on chest radiographs suggestive of bacterial pneumonia were
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
257                                  Fifty-three chest radiographs that depicted 31 primary lung cancers
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
260 on of the peripheral vein and postprocedural chest radiograph to assess catheter tip position.
261                  We obtained posteroanterior chest radiographs to identify the prevalence of pleural
262                             An infiltrate on chest radiograph was considered the reference standard f
263                            Each patient's ED chest radiograph was divided into six zones and examined
264                                              Chest radiograph was suggestive of a posterior mediastin
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
268                            Neovascularity on chest radiographs was more common in Eisenmenger syndrom
269                      The frequency of normal chest radiographs was significantly higher in group 1 (n
270   Eleven (48%) of 23 cancers for which prior chest radiographs were available were seen retrospective
271                               Migrants whose chest radiographs were compatible with active tuberculos
272                               Results Normal chest radiographs were detected by our AI system with a
273 andardized procedure notes and postprocedure chest radiographs were extracted and individually review
274                                              Chest radiographs were independently assessed by two obs
275                                              Chest radiographs were interpreted according to the Inte
276                                    Skull and chest radiographs were obtained (Figs 1, 2), and the pat
277                                              Chest radiographs were obtained after implantation.
278                                              Chest radiographs were obtained approximately 28 days po
279                  Posteroanterior and lateral chest radiographs were obtained in the emergency departm
280                              A total of 1964 chest radiographs were obtained, of which normal images
281                                At this time, chest radiographs were obtained.
282                       Independent reviews of chest radiographs were performed by radiologists.
283 lity was calculated, and echocardiograms and chest radiographs were performed on all study patients.
284                                              Chest radiographs were read according to a WHO standard.
285                                          The chest radiographs were read as "normal/near normal," "ab
286                The medical records and daily chest radiographs were reviewed by a pediatric radiologi
287                          Medical records and chest radiographs were reviewed for the main tertiary ho
288                                              Chest radiographs were reviewed independently by study r
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
296 ired using another (Philips), producing fake chest radiographs with different textures.
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

 
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