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RISS 인기검색어
- 검색키워드
- 저자 : Saleh A. Alqahtani (검색결과 3 건)
- 무료
- 기관 내 무료
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The Role of Endoscopic Ultrasound in Hepatology
Alqahtani Saleh A.,Ausloos Floriane,Park Ji Seok,Jang Sunguk 거트앤리버 소화기연관학회협의회 2023 Gut and Liver Vol.17 No.2
Endoscopic ultrasound (EUS) has been an indispensable and widely used diagnostic tool in several medical fields, including gastroenterology, cardiology, and urology, due to its diverse therapeutic and diagnostic applications. Many studies show that it is effective and safe in patients with liver conditions where conventional endoscopy or cross-sectional imaging are inefficient or when surgical interventions pose high risks. In this article, we present a review of the current literature for the different diagnostic and therapeutic applications of EUS in liver diseases and their complications and discuss the potential future application of artificial intelligence analysis of EUS.
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Mhareb, M.H.A.,Alajerami, Y.S.M.,Dwaikat, Nidal,Al-Buriahi, M.S.,Alqahtani, Muna,Alshahri, Fatimh,Saleh, Noha,Alonizan, N.,Saleh, M.A.,Sayyed, M.I. Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.3
The current study aims to explore the shielding properties of multi-component borate-based glass series. Seven glass-samples with composition of (80-y)H<sub>3</sub>BO<sub>3</sub>-10ZnO-10Na<sub>2</sub>O-yBaO where (y = 0, 5, 10, 15, 20, 25 and 30 mol.%) were synthesized by melt-quench method. Various shielding features for photons, neutrons, and protons were determined for all prepared samples. XCOM, Phy-X program, and SRIM code were performed to determine and explain several shielding properties such as equivalent atomic number, exposure build-up factor, specific gamma-ray constants, effective removal cross-section (Σ<sub>R</sub>), neutron scattering and absorption, Mass Stopping Power (MSP) and projected range. The energy ranges for photons and protons were 0.015-15 MeV and 0.01-10 MeV, respectively. The mass attenuation coefficient (μ/ρ) was also determined experimentally by utilizing two radioactive sources (<sup>166</sup>Ho and <sup>137</sup>Cs). Consistent results were obtained between experimental and XCOM values in determining μ/ρ of the new glasses. The addition of BaO to the glass matrix led to enhance the μ/ρ and specific gamma-ray constants of glasses. Whereas the remarkable reductions in Σ<sub>R</sub>, MSP, and projected range values were reported with increasing BaO concentrations. The acquired results nominate the use of these glasses in different radiation shielding purposes.
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Habeeb Ibrahim Abdul Razack,Sam Mathew,Fathinul Fikri Ahmad Saad,Saleh A. Alqahtani 한국과학학술지편집인협의회 2021 Science Editing Vol.8 No.2
The flood of research output and increasing demands for peer reviewers have necessitated the intervention of artificial intelligence (AI) in scholarly publishing. Although human input is seen as essential for writing publications, the contribution of AI slowly and steadily moves ahead. AI may redefine the role of science communication experts in the future and transform the scholarly publishing industry into a technology-driven one. It can prospectively improve the quality of publishable content and identify errors in published content. In this article, we review various AI and other associated tools currently in use or development for a range of publishing obligations and functions that have brought about or can soon leverage much-demanded advances in scholarly communications. Several AI-assisted tools, with diverse scope and scale, have emerged in the scholarly market. AI algorithms develop summaries of scientific publications and convert them into plain-language texts, press statements, and news stories. Retrieval of accurate and sufficient information is prominent in evidence-based science publications. Semantic tools may empower transparent and proficient data extraction tactics. From detecting simple plagiarism errors to predicting the projected citation impact of an unpublished article, AI’s role in scholarly publishing is expected to be multidimensional. AI, natural language processing, and machine learning in scholarly publishing have arrived for writers, editors, authors, and publishers. They should leverage these technologies to enable the fast and accurate dissemination of scientific information to contribute to the betterment of humankind.
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