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Opacity

High-risk chest radiographic features associated with COVID-19 disease severity

Sean Wei Xiang Ong, Terrence Chi Hong Hui, [ ... ], David Chien Lye

Characteristics of anti-IL-17/23 biologics-induced interstitial pneumonia in patients with psoriasis

Hanae Miyagawa, Hiromichi Hara, [ ... ], Kazuyoshi Kuwano

The role of CPAP as a potential bridge to invasive ventilation and as a ceiling-of-care for patients hospitalized with Covid-19—An observational study

Jonathan Walker, Shaman Dolly, [ ... ], Kalpana Sabapathy

Maxillary incisor enamel defects in individuals born with cleft lip/palate

Juliane R. Lavôr, Rosa Helena W. Lacerda, Adriana Modesto, Alexandre R. Vieira

Performance of real-time PCR and immunofluorescence assay for diagnosis of Pneumocystis pneumonia in real-world clinical practice

Darunee Chotiprasitsakul, Pataraporn Pewloungsawat, [ ... ], Prapaporn Pornsuriyasak

Organizing pneumonia of COVID-19: Time-dependent evolution and outcome in CT findings

Yan Wang, Chao Jin, [ ... ], Jian Yang

Using Optical Quality Analysis System for predicting surgical parameters in age-related cataract patients

Thibaud Garcin, Damien Grivet, Gilles Thuret, Philippe Gain

Deep-learning-based enhanced optic-disc photography

Ahnul Ha, Sukkyu Sun, [ ... ], Ki Ho Park

Clinical and imaging features predict mortality in COVID-19 infection in Iran

Fatemeh Homayounieh, Eric W. Zhang, [ ... ], Subba R. Digumarthy

Chest CT findings related to mortality of patients with COVID-19: A retrospective case-series study

Yiqi Hu, Chenao Zhan, [ ... ], Liming Xia

Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs

Jocelyn Zhu, Beiyi Shen, [ ... ], Tim Q. Duong

Quantitative lung lesion features and temporal changes on chest CT in patients with common and severe SARS-CoV-2 pneumonia

Yue Zhang, Ying Liu, Honghan Gong, Lin Wu

Lung ultrasound score to monitor COVID-19 pneumonia progression in patients with ARDS

Auguste Dargent, Emeric Chatelain, [ ... ], the COVID-LUS study group

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