Post-deployment performance of a deep learning algorithm for normal and abnormal chest X-ray classification: A study at visa screening centers in the United Arab Emirates by Amina Abdelqadir Mohamed AlJasmi, Hatem Ghonim, Mohyi Eldin Fahmy, Aswathy Nair, Shamie Kumar, Dennis Robert, Afrah Abdikarim Mohamed, Hany Abdou, Anumeha Srivastava, Bhargava Reddy

Subjects: “…Chest radiograph…”
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Investigation of a chest radiograph-based deep learning model to identify an imaging biomarker for malnutrition in older adults by Ryo Sasaki, Yasuhiko Nakao, Fumihiro Mawatari, Takahito Nishihara, Masafumi Haraguchi, Masanori Fukushima, Ryu Sasaki, Satoshi Miuma, Hisamitsu Miyaaki, Kazuhiko Nakao

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Deep learning for tubes and lines detection in critical illness: Generalizability and comparison with residents by Pootipong Wongveerasin, Trongtum Tongdee, Pairash Saiviroonporn

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A scoping review of deep learning approaches for lung cancer detection using chest radiographs and computed tomography scans by M.N. Nguyen

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Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder by Kyle A. Hasenstab, Lewis Hahn, Nick Chao, Albert Hsiao

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