AIMC Topic: Saudi Arabia

Clear Filters Showing 61 to 70 of 79 articles

Desert actinobacteria as a source of bioactive compounds production with a special emphases on Pyridine-2,5-diacetamide a new pyridine alkaloid produced by Streptomyces sp. DA3-7.

Microbiological research Nov 21, 2017
In the present study, 134 morphologically distinct actinobacteria isolates were obtained from soil samples from 10 different localities in the Saudi Arabian desert. The preliminary screening revealed that 16 of these isolates possessed antimicrobial ...
Enterococcus faecalis Cell Line, Tumor Alkaloids Adenocarcinoma Breast Neoplasms Escherichia coli Cryptococcus neoformans Antineoplastic Agents Streptomyces Saudi Arabia Microbial Sensitivity Tests Humans Soil Microbiology Anti-Infective Agents Salmonella typhimurium Female Pyridines Desert Climate MCF-7 Cells
View on PubMed DOI

Short-term prediction of solar energy in Saudi Arabia using automated-design fuzzy logic systems.

PloS one Aug 14, 2017
Solar energy is considered as one of the main sources for renewable energy in the near future. However, solar energy and other renewable energy sources have a drawback related to the difficulty in predicting their availability in the near future. Thi...
Algorithms Computer Simulation Saudi Arabia Models, Theoretical Solar Energy Fuzzy Logic
View on PubMed DOI

Using a genetic-fuzzy algorithm as a computer aided diagnosis tool on Saudi Arabian breast cancer database.

Mathematical biosciences Feb 6, 2017
The computer-aided diagnosis has become one of the major research topics in medical diagnostics. In this research paper, we focus on designing an automated computer diagnosis by combining two major methodologies, namely the fuzzy base systems and the...
Fuzzy Logic Breast Neoplasms Humans Diagnosis, Computer-Assisted Algorithms Saudi Arabia Databases, Factual Models, Genetic
View on PubMed DOI

Serum Interleukin-33 level in Saudi children with inflammatory bowel disease.

International journal of clinical and experimental pathology Dec 1, 2015
Interleukin-33 (IL-33) is a cytokine that belongs to the interleukin-1 family and has been shown to be associated with mucosal inflammation. The aim of this study was to determine the serum level of IL-33 in children with ulcerative colitis (UC) and ...
Up-Regulation Prospective Studies Nephelometry and Turbidimetry Biomarkers Interleukin-33 Prognosis Female Predictive Value of Tests Saudi Arabia Age Factors Cross-Sectional Studies Humans Adolescent C-Reactive Protein Biological Products Male Crohn Disease Child Colitis, Ulcerative Severity of Illness Index Enzyme-Linked Immunosorbent Assay Inflammation Mediators Diagnosis, Differential Case-Control Studies
View on PubMed

Factors affecting Artificial Intelligence usage intention among nursing students: Unified theory of acceptance and use of technology.

Nurse education today Sep 1, 2025
BACKGROUND: Nursing students' acceptance and usage of AI are crucial for embracing and implementing the technology in nursing practice in the future. However, there is a lack of literature to examine the factors affecting AI usage intention among nur...
Education, Nursing, Baccalaureate Students, Nursing Artificial Intelligence Self Report Female Humans Young Adult Intention Cross-Sectional Studies Adult Male Motivation Surveys and Questionnaires Saudi Arabia
View on PubMed DOI

Beyond purchase patterns: harnessing predictive analytics to anticipate unarticulated consumer needs.

Acta psychologica Jul 1, 2025
As organizations transition toward data-driven strategies, the ability to anticipate unarticulated consumer needs has emerged as a critical frontier in strategic marketing. This study investigates how predictive analytics, when integrated with artifi...
Humans Artificial Intelligence Female Saudi Arabia Consumer Behavior Young Adult Commerce Adult Marketing Male Jordan Middle Aged
View on PubMed DOI

Acceptance and Readiness of Critical Care Nurses to Use Artificial Intelligence: A Structural Equation Modeling Approach.

International nursing review Jun 1, 2025
AIM: The aims of this study was to evaluate the acceptance and readiness of critical care nurses to use artificial intelligence (AI).
Cross-Sectional Studies Male Middle Aged Surveys and Questionnaires Humans Artificial Intelligence Female Adult Nursing Staff, Hospital Attitude to Computers Critical Care Nursing Saudi Arabia Latent Class Analysis Attitude of Health Personnel Egypt
View on PubMed DOI

Understanding artificial intelligence through the eyes of future nurses: Insights from nursing students.

Saudi medical journal Mar 1, 2025
OBJECTIVES: To explore nursing students' perceptions and understanding of artificial intelligence (AI), aiming to identify and address critical knowledge gaps to support effective integration into educational practices.
Students, Nursing Curriculum Education, Nursing Humans Artificial Intelligence Female Young Adult Male Adult Qualitative Research Saudi Arabia
View on PubMed DOI

Ethical boundaries and data-sharing practices in AI-enhanced nursing: An Arab perspective.

International nursing review Mar 1, 2025
AIM: This study explored the ethical boundaries and data-sharing practices in artificial intelligence (AI)-enhanced nursing from the perspective of Arab nurses.
Middle Aged Qualitative Research Saudi Arabia Arabs Artificial Intelligence Information Dissemination Female Humans Adult Ethics, Nursing Male
View on PubMed DOI

Exploring and Identifying Key Factors in Predicting Dyslexia in Children: Advanced Machine Learning Algorithms From Screening to Diagnosis.

Clinical psychology & psychotherapy Jan 1, 2025
INTRODUCTION: The current study aimed to develop and validate a machine learning (ML)-based predictive models for early dyslexia detection in children by integrating neurocognitive, linguistic and behavioural predictors.
Male Saudi Arabia Child Dyslexia Algorithms Female Sensitivity and Specificity Cross-Sectional Studies Humans Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals