Zobrazeno 1 - 10
of 803
pro vyhledávání: '"Alshathri A"'
Autor:
Rezk, Nermeen Gamal1 (AUTHOR) nermeen_rezk@eng.kfs.edu.eg, Alshathri, Samah2 (AUTHOR) sealshathry@pnu.edu.sa, Sayed, Amged3,4 (AUTHOR) amgad.mahmoud@el-eng.menofia.edu.eg, El-Din Hemdan, Ezz5,6 (AUTHOR) ezzeldinhemdan@el-eng.menofia.edu.eg, El-Behery, Heba1 (AUTHOR) eng_heba_2010@eng.kfs.edu.eg
Publikováno v:
Bioengineering (Basel). Oct2024, Vol. 11 Issue 10, p1016. 14p.
Autor:
Nikita Bhatt, Nirav Bhatt, Purvi Prajapati, Vishal Sorathiya, Samah Alshathri, Walid El-Shafai
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The Artificial Intelligence has evolved and is now associated with Deep Learning, driven by availability of vast amount of data and computing power. Traditionally, researchers have adopted a Model-Centric Approach, focusing on developing new
Externí odkaz:
https://doaj.org/article/95f4da176c8640888bc0073f9911c310
Autor:
Ahmed Alasker, Seham Alsalamah, Nada Alshathri, Nura Almansour, Faris Alsalamah, Mohammad Alghafees, Mohammad AlKhamees, Bader Alsaikhan
Publikováno v:
BMC Urology, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Purpose The diagnosis and management of prostate cancer (PCa), the second most common cancer in men worldwide, are highly complex. Hence, patients often seek knowledge through additional resources, including AI chatbots such as ChatGPT and G
Externí odkaz:
https://doaj.org/article/0c7738f943b64decbc926943969137a9
Autor:
Abdulaziz AlEnazi, Almaha H. Alshathri, Aljohara H. Alshathri, Aljoud Algazlan, Nuha Alkudsi, Hassan Assiri, Ahmed Alarfaj
Publikováno v:
JPRAS Open, Vol 40, Iss , Pp 158-169 (2024)
Background: Accurate methods are needed to evaluate the anatomy of the internal nasal valve (INV), yet there is currently no ideal measurement technique. Our systematic review aims to establish a comprehensive INV assessment tool, compare different I
Externí odkaz:
https://doaj.org/article/cd9c31373daf4ddfae6493d3ea58d207
Autor:
Alhakeem, Malak M.1 (AUTHOR) malhakeem@ksu.edu.sa, Baghdadi, Leena R.2 (AUTHOR) lbaghdadi@ksu.edu.sa, Alshathri, Almaha H.3 (AUTHOR) 439200306@student.ksu.edu.sa, Alshathri, Aljohara H.3 (AUTHOR) 439200305@student.ksu.edu.sa, Alqahtani, Arwa A.3 (AUTHOR) 439200282@student.ksu.edu.sa, Alshathri, Monerah H.4 (AUTHOR) 442204007@student.ksu.edu.sa
Publikováno v:
Behavioral Sciences (2076-328X). Sep2024, Vol. 14 Issue 9, p829. 11p.
Autor:
AlEnazi, Abdulaziz, Alshathri, Almaha H., Alshathri, Aljohara H., Algazlan, Aljoud, Alkudsi, Nuha, Assiri, Hassan, Alarfaj, Ahmed
Publikováno v:
In JPRAS Open June 2024 40:158-169
Autor:
AL-Mussallam, Adnan S., Alshathri, Rawan S., Desmedt, Bart, Aldawsari, Fahad S., Deconinck, Eric, Alharthi, Omniyah A., Bawazir, Abdullah T.
Publikováno v:
In Regulatory Toxicology and Pharmacology November 2024 153
Autor:
Badr Al-Bawardy, Abdulaziz F. Alfadley, Mohammed Almousallam, Saad AlShathri, Mohamed Aboueissa, Abdulrahman Alsulaiman, Mashary Attamimi, Abdulelah AlMutairdi
Publikováno v:
The Saudi Journal of Gastroenterology, Vol 30, Iss 3, Pp 168-172 (2024)
Background: Seroprevalence of Epstein-Barr virus (EBV) in patients with inflammatory bowel disease (IBD) is variable based on geographic distribution. There are no published data on the seroprevalence of EBV in patients with IBD in Saudi Arabia. This
Externí odkaz:
https://doaj.org/article/47906bf8443c4f469dac8d9ef47c6b50
Autor:
Divya Sharma, Chander Prabha, Md Mehedi Hassan, Shahab Abdulla, Anupam Kumar Bairagi, Samah Alshathri, Walid El-Shafai
Publikováno v:
IEEE Access, Vol 12, Pp 165050-165067 (2024)
Electronic Medical Images (EMI) have grown with the increase in population. EMI are used for medical diagnosis for medical emergencies hence, they should be correct and clear for accurate diagnosis. In general, EMI are of varying sizes and dimensions
Externí odkaz:
https://doaj.org/article/e954a5d162fd488a9bc8582743e5e40b
Autor:
Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Tipu Sultan, Samah Alshathri, Walid El-Shafai
Publikováno v:
IEEE Access, Vol 12, Pp 103473-103487 (2024)
Medical text classification organizes medical documents into categories to streamline information retrieval and support clinical decision-making. Traditional machine learning techniques, including pre-trained language models, are effective but requir
Externí odkaz:
https://doaj.org/article/4bbfc4412c6546589fe02798f9108fe5