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Adam Bernheim
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 48
Citations - 6404
Adam Bernheim is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 15, co-authored 40 publications receiving 4473 citations. Previous affiliations of Adam Bernheim include Emory University & Nanchang University.
Papers
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Journal ArticleDOI
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV).
Michael H. Chung,Adam Bernheim,Xueyan Mei,Ning Zhang,Mingqian Huang,Xianjun Zeng,Jiufa Cui,Wenjian Xu,Yang Yang,Zahi A. Fayad,Adam Jacobi,Kunwei Li,Shaolin Li,Hong Shan +13 more
TL;DR: In this retrospective case series, chest CT scans of 21 symptomatic patients from China infected with the 2019 novel coronavirus were reviewed, with emphasis on identifying and characterizing the most common findings.
Journal ArticleDOI
Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection.
Adam Bernheim,Xueyan Mei,Mingqian Huang,Yang Yang,Zahi A. Fayad,Ning Zhang,Kaiyue Diao,Bin Lin,Xiqi Zhu,Kunwei Li,Shaolin Li,Hong Shan,Adam Jacobi,Michael H. Chung +13 more
TL;DR: With a longer time after the onset of symptoms, CT findings were more frequent, including consolidation, bilateral and peripheral disease, greater total lung involvement, linear opacities, “crazy-paving” pattern and the “reverse halo” sign.
Journal ArticleDOI
Artificial intelligence-enabled rapid diagnosis of patients with COVID-19.
Xueyan Mei,Hao-Chih Lee,Kaiyue Diao,Mingqian Huang,Bin Lin,Chenyu Liu,Zongyu Xie,Yixuan Ma,Philip M. Robson,Michael H. Chung,Adam Bernheim,Venkatesh Mani,Claudia Calcagno,Kunwei Li,Shaolin Li,Hong Shan,Jian Lv,Tongtong Zhao,Junli Xia,Qihua Long,Sharon Steinberger,Adam Jacobi,Timothy W. Deyer,Marta Luksza,Fang Liu,Brent P. Little,Zahi A. Fayad,Yang Yang +27 more
TL;DR: Artificial intelligence algorithms integrating chest CT findings with clinical symptoms, exposure history and laboratory testing to rapidly diagnose patients who are positive for COVID-19 with similar accuracy as compared to a senior radiologist.
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Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review.
TL;DR: The purpose of this pictorial review article is to describe the most common manifestations and patterns of lung abnormality on CXR in COVID-19 in order to equip the medical community in its efforts to combat this pandemic.
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Clinical and Chest Radiography Features Determine Patient Outcomes in Young and Middle-aged Adults with COVID-19.
Danielle Toussie,Nicholas Voutsinas,Mark Finkelstein,Mario A. Cedillo,Sayan Manna,Samuel Z. Maron,Adam Jacobi,Michael H. Chung,Adam Bernheim,Corey Eber,Jose Concepcion,Zahi A. Fayad,Yogesh Sean Gupta +12 more
TL;DR: For patients aged 21–50 years with coronavirus disease 2019 presenting to the emergency department, a chest radiograph severity score was predictive of risk for hospital admission and intubation.