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  1. 4621
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  5. 4625
    “…BACKGROUND: One of the manifestations of recurrence after mastectomy is the presentation of chest wall lesion. However, it is unclear if the size of the chest wall recurrence (CWR) is related to the presence of simultaneous systemic metastasis in these patients. …”
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  9. 4629
    “…The overall diagnostic accuracy of radiologists was superior to AI for chest X-ray and mammography. However, the accuracy of AI was noninferior to the least experienced radiologists for mammography and fluorography, and to all radiologists for chest X-ray. …”
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  10. 4630
    “…We aimed to validate and test a deep learning model to detect COVID-19 based on chest X-rays. The recent deep convolutional neural network (CNN) RegNetX032 was adapted for detecting COVID-19 from chest X-ray (CXR) images using polymerase chain reaction (RT-PCR) as a reference. …”
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  11. 4631
    “…Contemporary data on recurrent AMI and its association with return emergency department (ED) visits for chest pain are needed. METHODS: This Swedish retrospective cohort study linked patient-level data from six participating hospitals to four national registers to construct the Stockholm Area Chest Pain Cohort (SACPC). …”
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  12. 4632
    “…Despite being a frequent presenting complaint in emergency rooms, chest pain’s clinical therapy varies greatly. Our objectives were to identify the traits of people who complain of chest pain and to analyze the value of the HEART (history, electrocardiogram, age, risk factors, and initial troponin) score index for risk assessment. …”
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  13. 4633
    “…Computed tomography (CT) of the chest is commonly used for screening pulmonary abnormalities and provides an opportunity to assess cardiac function. …”
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  14. 4634
    “…BACKGROUND: Chest radiographs are a common diagnostic tool in the internal medicine department, and correct interpretation is imperative for adequate patient management. …”
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    “…Colormetric pressure film measured pressure at the neo-chest wall position in response to load, across the gel block base. …”
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  18. 4638
    “…This study uses the classification of COVID-19 from chest x-ray radiographs as an example to demonstrate that the image contrast and sharpness, which are characteristics of a chest radiograph dependent on data acquisition systems and imaging parameters, can be intrinsic shortcuts that impair the model’s generalizability. …”
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