Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ahmed W. Moawad"'
Autor:
Ahmed W. Moawad, Ali Morshid, Ahmed M. Khalaf, Mohab M. Elmohr, John D. Hazle, David Fuentes, Mohamed Badawy, Ahmed O. Kaseb, Manal Hassan, Armeen Mahvash, Janio Szklaruk, Aliyya Qayyum, Abdelrahman Abusaif, William C. Bennett, Tracy S. Nolan, Brittney Camp, Khaled M. Elsayes
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-7 (2023)
Measurement(s) Image Segmentation • hepatocellular carcinoma Technology Type(s) Neural Network • Multiphasic Computed Tomography of the Abdomen Sample Characteristic - Organism multiphasic CT of the abdomen Sample Characteristic - Location contig
Externí odkaz:
https://doaj.org/article/cadcba09bc704691b855034907203a0e
Autor:
Aiham Qdaisat, Sara Bedrose, Obadah Ezzeldin, Ahmed W. Moawad, Sai-Ching J. Yeung, Khaled M. Elsayes, Mouhammed Amir Habra
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
BackgroundThe increasing use of computed tomography (CT) has identified many patients with incidental adrenal lesions. Further evaluation of these lesions is often dependent on the language used in the radiology report. Compared to the general popula
Externí odkaz:
https://doaj.org/article/31cab415cbfb498f899633b24e390b63
Autor:
Ahmed W. Moawad, David Fuentes, Ahmed M. Khalaf, Katherine J. Blair, Janio Szklaruk, Aliya Qayyum, John D. Hazle, Khaled M. Elsayes
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Background: Hepatocellular carcinoma (HCC) is the most common liver malignancy and the leading cause of death in patients with cirrhosis. Various treatments for HCC are available, including transarterial chemoembolization (TACE), which is the commone
Externí odkaz:
https://doaj.org/article/d18053e4a9024b0cabf0dc8571ad589d
Autor:
Ahmed W. Moawad, David T. Fuentes, Mohamed G. ElBanan, Ahmed S. Shalaby, Jeffrey Guccione, Serageldin Kamel, Corey T. Jensen, Khaled M. Elsayes
Publikováno v:
Journal of Computer Assisted Tomography. 46:78-90
Artificial intelligence (AI) is the most revolutionizing development in the health care industry in the current decade, with diagnostic imaging having the greatest share in such development. Machine learning and deep learning (DL) are subclasses of A
Publikováno v:
Magnetic Resonance Imaging Clinics of North America. 29:451-463
Here we review artificial intelligence (AI) models which aim to assess various aspects of chronic liver disease. Despite the clinical importance of hepatocellular carcinoma in the setting of chronic liver disease, we focus this review on AI models wh
Autor:
Ahmed W Moawad, Mouhammed Amir Habra, David Fuentes, Ayahallah A. Ahmed, John D. Hazle, Khaled M. Elsayes
Publikováno v:
Abdominal Radiology. 46:4853-4863
To evaluate the ability of radiomic feature extraction and a machine learning algorithm to differentiate between benign and malignant indeterminate adrenal lesions on contrast-enhanced computed tomography (CT) studies. Adrenal “incidentalomas” ar
Autor:
Richard K. G. Do, Ahmed M Gabr, Radu Rozenberg, Vahid Yaghmai, Joseph H. Yacoub, Marielia Gerena, Bradley Spieler, Mustafa R. Bashir, Ahmed W Moawad, Khaled M Elsayes, Carl F. Sabottke
Publikováno v:
Abdominal Radiology. 46:3660-3671
Artificial Intelligence (AI) continues to shape the practice of radiology, with imaging of hepatocellular carcinoma (HCC) being of no exception. This article prepared by members of the LI-RADS Treatment Response (TR LI-RADS) work group and associates
Publikováno v:
Journal of Hepatocellular Carcinoma. 7:331-335
Purpose To evaluate the value of follow-up chest CT in the surveillance of HCC patients. Background Imaging guidelines for the surveillance of hepatocellular carcinoma (HCC) patients recommend multiple follow-up computed tomography (CT) examinations
Autor:
Scott A Rohren, Ahmed Kaseb, Khaled M Elsayes, Amita Kamath, Katherine J. Blair, Chandana Lall, Ahmed W Moawad, Janio Szklaruk
Publikováno v:
Journal of Hepatocellular Carcinoma. 7:77-89
Hepatocellular carcinoma (HCC) is one of the most common tumors worldwide, usually occurring on a background of liver cirrhosis. HCC is a highly vascular tumor in which angiogenesis plays a major role in tumor growth and spread. Tumor-induced angioge
Autor:
Mohamed Elshikh, Albert R. Klekers, Kamran Ali, Ahmed W Moawad, Mohamed Ibrahim, Sanaz Javadi, Khaled M. Elsayes, Sergio P Klimkowski, Juan J. Ibarra Rovira, Abdelraham A. Abusaif
Publikováno v:
Cancers, Vol 13, Iss 5121, p 5121 (2021)
Cancers
Cancers
Simple Summary The Peutz-Jeghers Syndrome is a rare autosomal dominant syndrome characterized by mucocutaneous pigmentations, multiple gastrointestinal hamartomatous polyps, and an elevated risk of malignancy. Awareness of various Peutz-Jeghers Syndr