Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Tajaldeen A"'
Autor:
Alsleem H, Tajaldeen A, Almutairi A, Almohiy H, Aldaais E, Albattat R, Alsleem M, Abuelhia E, Kheiralla OAM, Alqahtani A, Alghamdi S, Aljondi R, Alharbi R
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 15, Pp 1747-1757 (2022)
Haney Alsleem,1 Abdulrahman Tajaldeen,1 Abdulrahman Almutairi,2 Hussain Almohiy,3 Ebtisam Aldaais,1 Rayan Albattat,2 Mousa Alsleem,4 Elfatih Abuelhia,1 Osama Abdalla Mabrouk Kheiralla,1 Ahmed Alqahtani,5 Salem Alghamdi,6 Rowa Aljondi,6 Renad Alharbi7
Externí odkaz:
https://doaj.org/article/d6d2f617a5be4af2ae5b8cfeddcbd60d
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 15, Pp 443-453 (2022)
Abdulrahman Tajaldeen,1 Osama A Mabrouk Kheiralla,1 Salem Saeed Alghamdi,2 Haney Alsleem,1 Abdullah Al-Othman,3 Elfatih Abuelhia,1 Rowa Aljondi2 1Department of Radiological Sciences, College of Applied Medical Science, Imam Abdulrahman Bin Faisal Uni
Externí odkaz:
https://doaj.org/article/9b0fe0749cc941fd9ce1f3fc24b1554d
Autor:
Rowa Mahmoud Aljondi, Waad Saad Alharthi, Samaher Mohammed Alyanbaawi, Abdulrzzag Abdulkarim Alghamdi, Salem Saeed Alghamdi, Abdulrahman Tajaldeen
Publikováno v:
International Journal of Biomedicine, Vol 14, Iss 4, Pp 640-648 (2024)
Background: Among health problems that can damage the brain, stroke is one of the most dangerous. However, there is relatively little information on the risk factors related to stroke in Saudi Arabia, especially in Jeddah. This study aims to identify
Externí odkaz:
https://doaj.org/article/73f6bc1f1b2c48ef9011b04aaf6ad1bc
The Prevalence of Anxiety Among Patients Undergoing Computed Tomography Examinations in Saudi Arabia
Autor:
Abdulrahman Tajaldeen, Salem Saeed Alghamdi, Mustafa Jafer, Rowa Aljondi, Elbagir Hamza, Fahd Alshahrani, Wala Alzahrani, Ali Alshuwayfie, Hassan Almohsen, Mohammad Alzayd, Muteb Alrashidi
Publikováno v:
International Journal of Biomedicine, Vol 14, Iss 4, Pp 654-658 (2024)
Background: Patient anxiety during medical imaging procedures is common, with a reported prevalence of 49%–95%. Contributing factors include the characteristics of the imaging equipment and the anticipation of a diagnosis. While anxiety related to
Externí odkaz:
https://doaj.org/article/7c436ac09e684126b6ab0021ac162bfc
Autor:
Tajaldeen, Abdulrahman, Alrashidi, Muteb, Alsaadi, Mohamed J., Alghamdi, Salem Saeed, Alshammari, Hamed, Alsleem, Haney, Jafer, Mustafa, Aljondi, Rowa, Alqahtani, Saeed, Alotaibi, Awatif, Alzandi, Abdulrahman M., Alahmari, Abdullah Mubarak
Publikováno v:
In Photodiagnosis and Photodynamic Therapy June 2024 47
Autor:
Ahmed, Amna Mohamed, Musa, Alamin, Medani, Afaf, Mahmoud, Mustafa, Osman, Hamid, Elsamani, Mohammed, Kajoak, Samih, Alghamdi, Salem Saeed, Tajaldeen, Abdulrahman, Hanfi, Mohamed Y., Khandaker, Mayeen Uddin
Publikováno v:
In Applied Radiation and Isotopes February 2024 204
Autor:
Rowa Aljondi, Salem Saeed Alghamdi, Samaher Alyanbawi, Abdulrzzag Alghamdi, Bander Alshomrani, Zuhier Awan, Khalid Alsafi, Abdulrahman Tajaldeen, Essam Mattar, Abdullah R. Khazindar, Abdelmoneim Sulieman
Publikováno v:
Journal of Radiation Research and Applied Sciences, Vol 15, Iss 3, Pp 103-108 (2022)
Background: job satisfaction among healthcare workers plays a crucial role in improving radiology service, including diagnosis of imaging, disease monitoring, therapy guidance, and treatment plans. Purpose: This study aimed to examine job belonging a
Externí odkaz:
https://doaj.org/article/d8c1f3bf221743b9b96c33b30dab2493
Autor:
Albahiti, Sarah K., Barnawi, Rashid A., Alsafi, Khalid, Khafaji, Mawya, Aljondi, Rowa, Alghamdi, Salem Saeed, Awan, Zuhier, Sulieman, Abdelmoneim, Jafer, Mustafa, Tamam, Nissren, Tajaldeen, Abdulrahman, Mattar, Essam H., Al-Malki, Khaled Mudis, Bradley, David
Publikováno v:
In Radiation Physics and Chemistry November 2022 201
Autor:
Aljondi, Rowa, Alghamdi, Salem Saeed, Alyanbawi, Samaher, Alghamdi, Abdulrzzag, Alshomrani, Bander, Awan, Zuhier, Alsafi, Khalid, Tajaldeen, Abdulrahman, Mattar, Essam, Khazindar, Abdullah R., Sulieman, Abdelmoneim
Publikováno v:
In Journal of Radiation Research and Applied Sciences September 2022 15(3):103-108
Autor:
Rowa Aljondi, Salem Saeed Alghamdi, Abdulrahman Tajaldeen, Shareefah Alassiri, Monagi H. Alkinani, Thomas Bertinotti
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 12087 (2023)
Background: Breast cancer has a 14.8% incidence rate and an 8.5% fatality rate in Saudi Arabia. Mammography is useful for the early detection of breast cancer. Researchers have been developing artificial intelligence (AI) algorithms for early breast
Externí odkaz:
https://doaj.org/article/8b22536963134590b6b26d64b1382265