Khalid Abdulrahman Alsharif
Datos Biográficos
| ID | 8435355 |
|---|---|
| NOMBRE | Khalid Abdulrahman Alsharif |
| NOMBRES | Khalid Abdulrahman |
| APELLIDO | Alsharif |
| FIRMA | ALSHARIF K A |
| AFILIACIONES | National Guard Health Affairs |
| VERIFICADO | No |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 4 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2018 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2021 |
| ÍNDICE H | 0 |
Advancements in liquid biopsy and radiology techniques for early cancer detection
Aim: This review explores advancements in liquid biopsy techniques and radiological imaging for early cancer detection, highlighting their potential to improve diagnosis and treatment monitoring. Methods: We analyzed various liquid biopsy technologies, focusing on circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and exosomes, along with radiological imaging techniques such as PET scans and MRI. Key methodologies include size-based e…
Automated hematology and radiology synergy in diagnosing anemia in children
Aim: This review aims to evaluate the role of automated hematology analyzers and radiological imaging techniques in the diagnosis and management of anemia in children, highlighting traditional and advanced parameters. Methods: A comprehensive literature review was conducted, focusing on automated hematological parameters such as hemoglobin, RBC indices, reticulocyte counts, and novel metrics from modern analyzers, alongside radiological assessmen…
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…
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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 …
Automated hematology and radiology synergy in diagnosing anemia in children
Aim: This review aims to evaluate the role of automated hematology analyzers and radiological imaging techniques in the diagnosis and management of anemia in children, highlighting traditional and advanced parameters. Methods: A comprehensive literature review was conducted, focusing on automated hematological parameters such as hemoglobin, RBC indices, reticulocyte counts, and novel metrics from modern analyzers, alongside radiological assessmen…
Advancements in liquid biopsy and radiology techniques for early cancer detection
Aim: This review explores advancements in liquid biopsy techniques and radiological imaging for early cancer detection, highlighting their potential to improve diagnosis and treatment monitoring. Methods: We analyzed various liquid biopsy technologies, focusing on circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and exosomes, along with radiological imaging techniques such as PET scans and MRI. Key methodologies include size-based e…
Medicine (4 obras) · Artificial Intelligence in Healthcare and Education (3 obras) · Medical physics (3 obras) · Radiology (3 obras) · Artificial Intelligence (2 obras) · Bioinformatics (2 obras) · Computer Science (2 obras) · Data science (2 obras) · Health care (2 obras) · Internal Medicine (2 obras)