Zobrazeno 1 - 10
of 5 973
pro vyhledávání: '"A. Dawoud"'
Autor:
Fleurence, Rachael, Wang, Xiaoyan, Bian, Jiang, Higashi, Mitchell K., Ayer, Turgay, Xu, Hua, Dawoud, Dalia, Chhatwal, Jagpreet
Objective: This article offers a taxonomy of generative artificial intelligence (AI) for health economics and outcomes research (HEOR), explores its emerging applications, and outlines methods to enhance the accuracy and reliability of AI-generated o
Externí odkaz:
http://arxiv.org/abs/2410.20204
For large-scale cyber-physical systems, the collaboration of spatially distributed sensors is often needed to perform the state estimation process. Privacy concerns arise from disclosing sensitive measurements to a cloud estimator. To solve this issu
Externí odkaz:
http://arxiv.org/abs/2408.17263
Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations
Autor:
Fleurence, Rachael, Bian, Jiang, Wang, Xiaoyan, Xu, Hua, Dawoud, Dalia, Higashi, Mitch, Chhatwal, Jagpreet
This review introduces the transformative potential of generative Artificial Intelligence (AI) and foundation models, including large language models (LLMs), for health technology assessment (HTA). We explore their applications in four critical areas
Externí odkaz:
http://arxiv.org/abs/2407.11054
Consider a compact metric space $X$, and let $\mathcal{F}=\{f_1,\,f_2,\ldots,\, f_k\}$ be a set of contracting and continuous self maps on $X$. Let $\Sigma$ be a sub-shift on $k$ symbols, and let $\Sigma_k$ be the full shift. Define $\mathcal{L}_n(\S
Externí odkaz:
http://arxiv.org/abs/2406.16371
Neural architecture search automates the design of neural network architectures usually by exploring a large and thus complex architecture search space. To advance the architecture search, we present a graph diffusion-based NAS approach that uses dis
Externí odkaz:
http://arxiv.org/abs/2403.06020
Autor:
Ali Bani Odah, Ameer Awashra, Zaid Sawaftah, Ahmed Sawafta, Omar Sawafta, Dawoud Hamdan, Jehad Khamaysa, Aziz Alwani
Publikováno v:
Radiology Case Reports, Vol 20, Iss 1, Pp 488-491 (2025)
Mixed connective tissue disease (MCTD) is a rare autoimmune syndrome characterized by overlapping features of systemic sclerosis, systemic lupus erythematosus (SLE), and polymyositis, first described by Sharp et al. in 1972. This case report discusse
Externí odkaz:
https://doaj.org/article/d71abe924aec400aa5f33e031327675b
Autor:
Otmane Zouirech, Fatima El Kamari, Amira Metouekel, Azeddin El Barnossi, Farhan Siddique, Sumaira Nadeem, Karima Mikou, Mohammed Bourhia, Hiba-Allah Nafidi, Turki M. Dawoud, Musaab Dauelbait, Badiaa Lyoussi, Elhoussine Derwich
Publikováno v:
International Journal of Food Properties, Vol 27, Iss 1, Pp 838-857 (2024)
This work intended to study differences in oil yield and co-extraction of antioxidant and antibacterial compounds of Nigella sativa L. seed oil as a function of two main extraction processes: mechanical pressing and solvent extraction, including hexa
Externí odkaz:
https://doaj.org/article/1374282793004a1daef821fb2e539d12
Autor:
Rem Jalab, Alankaa Al-Harbi, Najam Us Sahar Riyaz, Mohanad Shkoor, Mazen Khaled, Abdulilah Dawoud, Mohammed Saad, Ibnelwaleed Hussein, Ming Wah Wong, Lulu Wang, Nooralhuda Alateyah, Haissam Abou-Saleh, Aymen S. Abu Hatab, Othman Charles S. Al-Hamouz
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 12, Pp 1-35 (2024)
Abstract Pyridine and urea derivatives have emerged as valuable corrosion platforms ascribed to exceptional coordination potential, and environmental friendliness. Two novel structures of pyridine-carbamides (MS30 & MS31) were synthesized and used as
Externí odkaz:
https://doaj.org/article/aeab868504984fbeb82429fd41b62e5c
Publikováno v:
Exploration of Medicine, Vol 5, Iss 6, Pp 843-851 (2024)
Combined treatment of photobiomodulation therapy and pilocarpine hydrochloride (Salagen) helped a patient suffering from severe oral mucositis and malnutrition resulting from radiochemotherapy for head and neck cancers. This treatment sped up the pat
Externí odkaz:
https://doaj.org/article/6da692068255486f82f78350c888bd10
Publikováno v:
ICDMW (2023) 912-921
In the ever-evolving field of Artificial Intelligence, a critical challenge has been to decipher the decision-making processes within the so-called "black boxes" in deep learning. Over recent years, a plethora of methods have emerged, dedicated to ex
Externí odkaz:
http://arxiv.org/abs/2310.07534