Ola Yousef Fadan
Biographic Data
| ID | 8431146 |
|---|---|
| NAME | Ola Yousef Fadan |
| GIVEN NAMES | Ola Yousef |
| FAMILY NAME | Fadan |
| SIGNATURE | FADAN O Y |
| AFFILIATIONS | National Guard Health Affairs |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 0 |
Role of Artificial Intelligence in Laboratory Medicine
Background _ Precision medicine represents a significant shift in healthcare, moving away from traditional symptom-based approaches to a more individualized strategy that leverages advanced diagnostics. By focusing on early interventions and personalized therapies, precision medicine seeks to improve patient outcomes and optimize healthcare costs. The approach relies on comprehensive patient data analysis to differentiate between healthy and ill …
Integration of Laboratory and Radiology Data
Background _ Artificial intelligence (AI), particularly deep learning, has the potential to significantly transform the field of radiology. While there has been considerable attention in popular literature on the possible applications of AI, such as autonomous vehicles, it is suggested that the healthcare sector would experience the earliest and most significant impact from AI. Aim of Work – This paper aims to provide an overview of the current s…
The role of nurse leadership in enhancing healthcare administration
Background: A key component of efficient healthcare administration, nurse leadership plays a critical role in raising employee happiness, improving patient outcomes, and increasing organizational efficiency. Nurse leaders must manage changing issues such role ambiguity, resource limitations, and the incorporation of evidence-based practices as healthcare systems become more complicated. The ways in which nurse leaders impact healthcare administra…
Diabetes mellitus and stroke
Background: Diabetes mellitus (DM) is a well-established risk factor for cardiovascular diseases (CVD), including stroke. As the global prevalence of diabetes continues to rise, so does its contribution to the increasing incidence of stroke, particularly ischemic strokes. The coexistence of diabetes with other stroke risk factors, such as hypertension, dyslipidemia, and obesity, significantly amplifies stroke risk. Diabetes management post-stroke…
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The role of nurse leadership in enhancing healthcare administration
Background: A key component of efficient healthcare administration, nurse leadership plays a critical role in raising employee happiness, improving patient outcomes, and increasing organizational efficiency. Nurse leaders must manage changing issues such role ambiguity, resource limitations, and the incorporation of evidence-based practices as healthcare systems become more complicated. The ways in which nurse leaders impact healthcare administra…
Diabetes mellitus and stroke
Background: Diabetes mellitus (DM) is a well-established risk factor for cardiovascular diseases (CVD), including stroke. As the global prevalence of diabetes continues to rise, so does its contribution to the increasing incidence of stroke, particularly ischemic strokes. The coexistence of diabetes with other stroke risk factors, such as hypertension, dyslipidemia, and obesity, significantly amplifies stroke risk. Diabetes management post-stroke…
Integration of Laboratory and Radiology Data
Background _ Artificial intelligence (AI), particularly deep learning, has the potential to significantly transform the field of radiology. While there has been considerable attention in popular literature on the possible applications of AI, such as autonomous vehicles, it is suggested that the healthcare sector would experience the earliest and most significant impact from AI. Aim of Work – This paper aims to provide an overview of the current s…
Role of Artificial Intelligence in Laboratory Medicine
Background _ Precision medicine represents a significant shift in healthcare, moving away from traditional symptom-based approaches to a more individualized strategy that leverages advanced diagnostics. By focusing on early interventions and personalized therapies, precision medicine seeks to improve patient outcomes and optimize healthcare costs. The approach relies on comprehensive patient data analysis to differentiate between healthy and ill …
Medicine (4 works) · Computer Science (3 works) · Health care (3 works) · Nursing (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Data science (2 works) · Machine Learning in Healthcare (2 works) · Administration (probate law (1 work) · Applications of artificial intelligence (1 work)