Abdulmohsen Khalaf Alkhalaf
Biographic Data
| ID | 10312857 |
|---|---|
| NAME | Abdulmohsen Khalaf Alkhalaf |
| GIVEN NAMES | Abdulmohsen Khalaf |
| FAMILY NAME | Alkhalaf |
| SIGNATURE | ALKHALAF A K |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Integration of artificial intelligence in histopathological and radiological image analysis
Aim: This review explores the integration of artificial intelligence (AI) in both histopathological and radiological image analysis, focusing on its potential to enhance diagnostic workflows and patient outcomes. Methods: We examined recent advancements in AI technologies, particularly deep learning and computational pathology (CPath), highlighting methodologies such as multiple instance learning (MIL) and graph neural networks (GNNs) for analyzi…
Evaluating the role of next-generation sequencing and radiological techniques in rare disease diagnosis
Aim: This article evaluates the utility of next-generation sequencing (NGS) and radiological techniques in the diagnosis of rare diseases, emphasizing the challenges and opportunities presented by these technologies. Methods: A comprehensive review of existing literature on NGS technologies, including first, second, and third-generation sequencing methods, as well as their applications in genomics, transcriptomics, and epigenomics, was conducted …
Advances in biomarker discovery and radiological techniques for early detection of ovarian cancer
Aim: This review investigates recent advances in biomarker discovery and radiological techniques for the early detection of ovarian cancer, emphasizing the significance of early diagnosis in improving patient outcomes. Methods: A comprehensive literature review was conducted, focusing on various biomarkers, including CA125, HE4, and emerging candidates such as circulating tumor DNA and microRNA, alongside radiological imaging techniques such as u…
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…
No prominent works on this page.
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…
Advances in biomarker discovery and radiological techniques for early detection of ovarian cancer
Aim: This review investigates recent advances in biomarker discovery and radiological techniques for the early detection of ovarian cancer, emphasizing the significance of early diagnosis in improving patient outcomes. Methods: A comprehensive literature review was conducted, focusing on various biomarkers, including CA125, HE4, and emerging candidates such as circulating tumor DNA and microRNA, alongside radiological imaging techniques such as u…
Evaluating the role of next-generation sequencing and radiological techniques in rare disease diagnosis
Aim: This article evaluates the utility of next-generation sequencing (NGS) and radiological techniques in the diagnosis of rare diseases, emphasizing the challenges and opportunities presented by these technologies. Methods: A comprehensive review of existing literature on NGS technologies, including first, second, and third-generation sequencing methods, as well as their applications in genomics, transcriptomics, and epigenomics, was conducted …
Integration of artificial intelligence in histopathological and radiological image analysis
Aim: This review explores the integration of artificial intelligence (AI) in both histopathological and radiological image analysis, focusing on its potential to enhance diagnostic workflows and patient outcomes. Methods: We examined recent advancements in AI technologies, particularly deep learning and computational pathology (CPath), highlighting methodologies such as multiple instance learning (MIL) and graph neural networks (GNNs) for analyzi…
Medicine (5 works) · Radiology (5 works) · Internal Medicine (3 works) · Medical physics (3 works) · Artificial Intelligence in Healthcare and Education (2 works) · Bioinformatics (2 works) · Biology (2 works) · Biomarker (2 works) · Cancer (2 works) · Cancer biomarkers (2 works)