Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Safwan S Halabi"'
Publikováno v:
JMIR Medical Education, Vol 9, p e43415 (2023)
The role of artificial intelligence (AI) in radiology has grown exponentially in the recent years. One of the primary worries by medical students is that AI will cause the roles of a radiologist to become automated and thus obsolete. Therefore, there
Externí odkaz:
https://doaj.org/article/aaf6101e7338408a8fdfda62ae89dafa
Autor:
Pranav Rajpurkar, Jeremy Irvin, Robyn L Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis P Langlotz, Bhavik N Patel, Kristen W Yeom, Katie Shpanskaya, Francis G Blankenberg, Jayne Seekins, Timothy J Amrhein, David A Mong, Safwan S Halabi, Evan J Zucker, Andrew Y Ng, Matthew P Lungren
Publikováno v:
PLoS Medicine, Vol 15, Iss 11, p e1002686 (2018)
BackgroundChest radiograph interpretation is critical for the detection of thoracic diseases, including tuberculosis and lung cancer, which affect millions of people worldwide each year. This time-consuming task typically requires expert radiologists
Externí odkaz:
https://doaj.org/article/b1116af6ef4f471a87301326afba4bfd
Autor:
Liyue Shen, Jimmy Zheng, Edward H. Lee, Katie Shpanskaya, Emily S. McKenna, Mahesh G. Atluri, Dinko Plasto, Courtney Mitchell, Lillian M. Lai, Carolina V. Guimaraes, Hisham Dahmoush, Jane Chueh, Safwan S. Halabi, John M. Pauly, Lei Xing, Quin Lu, Ozgur Oztekin, Beth M. Kline-Fath, Kristen W. Yeom
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Magnetic resonance imaging offers unrivaled visualization of the fetal brain, forming the basis for establishing age-specific morphologic milestones. However, gauging age-appropriate neural development remains a difficult task due to the con
Externí odkaz:
https://doaj.org/article/acc9f90ecd0649f7b321835b8319314f
Publikováno v:
Pediatric Radiology. 52:2094-2100
UNSTRUCTURED The role of artificial intelligence (AI) in radiology has grown exponentially in the recent years. One of the primary worries by medical students is that AI will cause the roles of a radiologist to become automated and thus obsolete. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4170ebe4e5279ba339621d4c23792ea3
https://doi.org/10.2196/preprints.43415
https://doi.org/10.2196/preprints.43415
Autor:
Safwan S, Halabi
Publikováno v:
Journal of the American College of Radiology. 19:967-968
Autor:
Bibb, Allen, Safwan S, Halabi
Publikováno v:
Journal of the American College of Radiology. 19:683-684
Autor:
Safwan S. Halabi
Publikováno v:
Practical Imaging Informatics ISBN: 9781071617557
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85803d71688a14f67a50f3b89022a2ed
https://doi.org/10.1007/978-1-0716-1756-4_20
https://doi.org/10.1007/978-1-0716-1756-4_20
Autor:
Safwan S, Halabi
Publikováno v:
Pediatr Radiol
BACKGROUND: Although MR elastography allows for quantitative evaluation of liver stiffness to assess chronic liver diseases, it has associated drawbacks related to additional scanning time, patient discomfort, and added costs. OBJECTIVE: To develop a
Autor:
Shah A; College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, USA., Muddana PS; Radiodiagnosis, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, IND., Halabi S; Imaging Informatics, Lurie Children's Hospital, Chicago, USA.
Publikováno v:
Cureus [Cureus] 2022 Dec 22; Vol. 14 (12), pp. e32828. Date of Electronic Publication: 2022 Dec 22 (Print Publication: 2022).