Fuad H Abuadas
Biographic Data
| ID | 9994559 |
|---|---|
| NAME | Fuad H Abuadas |
| GIVEN NAMES | Fuad H |
| FAMILY NAME | Abuadas |
| SIGNATURE | ABUADAS F H |
| AFFILIATIONS | Jouf University |
| ORCID | 0000-0002-4880-0862 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Artificial intelligence in hospital infection prevention
Background: Hospital-acquired infections (HAIs) represent a persistent challenge in healthcare, contributing to substantial morbidity, mortality, and economic burden. Artificial intelligence (AI) offers promising potential for improving HAIs prevention through advanced predictive capabilities. Objective: To evaluate the effectiveness, usability, and challenges of AI models in preventing, detecting, and managing HAIs. Methods: This integrative rev…
Integrative review of artificial intelligence applications in nursing
Background: Artificial Intelligence (AI) is rapidly transforming the nursing profession, presenting significant opportunities and challenges. Despite its promising potential in enhancing nursing education, clinical practice, and operational efficiency, critical barriers related to ethics, workforce adaptation, and humanistic care persist. Aim: This integrative review systematically evaluates the integration of AI in nursing practice, with a speci…
Health and well-being of refugees, asylum seekers, undocumented migrants, and internally displaced persons under Covid-19
Objectives: The objective of this scoping review was to identify what is known about the impact of COVID-19 on the physical and mental well-being of refugees, asylum seekers, undocumented migrants, and internally displaced persons. The aim was also to identify barriers influencing access to treatment or prevention. Methods: The search was conducted using PubMed/Medline, CINAHL, Scopus, and ScienceDirect. A mixed methods appraisal tool was used to…
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Health and well-being of refugees, asylum seekers, undocumented migrants, and internally displaced persons under Covid-19
Objectives: The objective of this scoping review was to identify what is known about the impact of COVID-19 on the physical and mental well-being of refugees, asylum seekers, undocumented migrants, and internally displaced persons. The aim was also to identify barriers influencing access to treatment or prevention. Methods: The search was conducted using PubMed/Medline, CINAHL, Scopus, and ScienceDirect. A mixed methods appraisal tool was used to…
Artificial intelligence in hospital infection prevention
Background: Hospital-acquired infections (HAIs) represent a persistent challenge in healthcare, contributing to substantial morbidity, mortality, and economic burden. Artificial intelligence (AI) offers promising potential for improving HAIs prevention through advanced predictive capabilities. Objective: To evaluate the effectiveness, usability, and challenges of AI models in preventing, detecting, and managing HAIs. Methods: This integrative rev…
Integrative review of artificial intelligence applications in nursing
Background: Artificial Intelligence (AI) is rapidly transforming the nursing profession, presenting significant opportunities and challenges. Despite its promising potential in enhancing nursing education, clinical practice, and operational efficiency, critical barriers related to ethics, workforce adaptation, and humanistic care persist. Aim: This integrative review systematically evaluates the integration of AI in nursing practice, with a speci…
Medicine (3 works) · 2019-20 coronavirus outbreak (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Bacterial Identification and Susceptibility Testing (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · Criminology (1 work) · Curriculum (1 work) · Disease (1 work) · Education and experiences of immigrants and refugees (1 work)