Abdullah A. Asiri
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View article: Evaluating poor sleep quality and its risk factors in non-dialysis chronic kidney disease patients from Saudi Arabia
Evaluating poor sleep quality and its risk factors in non-dialysis chronic kidney disease patients from Saudi Arabia Open
This study aimed to assess sleep quality in patients with chronic kidney disease (CKD) in the Aseer Region of Saudi Arabia. This cross-sectional study focused on non-dialysis patients who attended CKD clinics. We used the validated Arabic …
View article: Elevating Surgical Recovery: A Comprehensive, Integrated, and Scholarly Approach to Fostering Nursing Excellence Through the Entire Perioperative Process
Elevating Surgical Recovery: A Comprehensive, Integrated, and Scholarly Approach to Fostering Nursing Excellence Through the Entire Perioperative Process Open
Background: The process of surgical recovery is significantly influenced by the quality of perioperative care delivered across the preoperative, intraoperative, and postoperative continuum. Surgical skill is paramount, yet the integrative …
View article: The Intersection of Laboratory Testing and Physical Therapy: Implications for Patient Rehabilitation – A Systematic Review
The Intersection of Laboratory Testing and Physical Therapy: Implications for Patient Rehabilitation – A Systematic Review Open
This systematic review explores the intersection of laboratory testing and physical therapy in the context of patient rehabilitation, emphasizing the role of diagnostic markers in optimizing therapeutic outcomes. The integration of laborat…
View article: Evaluating the Diagnostic Accuracy of Ultrasonography versus Computed Tomography for Detecting Renal Stones
Evaluating the Diagnostic Accuracy of Ultrasonography versus Computed Tomography for Detecting Renal Stones Open
Background: Although computed tomography (CT) scans are the gold standard imaging modality for diagnosing renal stones, their usefulness is restricted because of radiation exposure, particularly for young patients and expectant mothers. Th…
View article: Systematic Review and Meta-analysis: Comparison of Compartment Syndrome Rates between Fiberglass and Plaster of Paris
Systematic Review and Meta-analysis: Comparison of Compartment Syndrome Rates between Fiberglass and Plaster of Paris Open
Background: Pneumoni is A significant concern in orthopedic practice which involves an increased pressure within a confined space of an anatomical structure which holds the possibility of impaired blood flow, nerve injure and tissue death.…
View article: Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability
Enhancing brain tumor diagnosis: an optimized CNN hyperparameter model for improved accuracy and reliability Open
Hyperparameter tuning plays a pivotal role in the accuracy and reliability of convolutional neural network (CNN) models used in brain tumor diagnosis. These hyperparameters exert control over various aspects of the neural network, encompas…
View article: Advancing brain tumor detection: harnessing the Swin Transformer’s power for accurate classification and performance analysis
Advancing brain tumor detection: harnessing the Swin Transformer’s power for accurate classification and performance analysis Open
The accurate detection of brain tumors through medical imaging is paramount for precise diagnoses and effective treatment strategies. In this study, we introduce an innovative and robust methodology that capitalizes on the transformative p…
View article: Enhanced Regularized Ensemble Encoderdecoder Network for Accurate BrainTumor Segmentation
Enhanced Regularized Ensemble Encoderdecoder Network for Accurate BrainTumor Segmentation Open
Background:: Segmenting tumors in MRI scans is a difficult and time-consuming task for radiologists. This is because tumors come in different shapes, sizes, and textures, making them hard to identify visually. Objective:: This study propos…
View article: Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification
Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor Classification Open
Neurological and brain-related cancers are one of the main causes of death worldwide. A commonly used tool in diagnosing these conditions is Magnetic Resonance Imaging (MRI), yet the manual evaluation of MRI images by medical experts prese…
View article: Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks
Next-Gen brain tumor classification: pioneering with deep learning and fine-tuned conditional generative adversarial networks Open
Brain tumor has become one of the fatal causes of death worldwide in recent years, affecting many individuals annually and resulting in loss of lives. Brain tumors are characterized by the abnormal or irregular growth of brain tissues that…
View article: Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models
Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models Open
This paper presents a comprehensive study on the classification of brain tumor images using five pre-trained vision transformer (ViT) models, namely R50-ViT-l16, ViT-l16, ViT-l32, ViT-b16, and ViT-b32, employing a fine-tuning approach. The…
View article: Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications
Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications Open
Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain cells in the tumor grow abnormally and badly affect the surrounding brain cells. These cells could be either cancerous or non-cancerous types, and their s…
View article: Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans
Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans Open
A brain tumor is a significant health concern that directly or indirectly affects thousands of people worldwide. The early and accurate detection of brain tumors is vital to the successful treatment of brain tumors and the improved quality…
View article: Enhancing Brain Tumor Diagnosis: Transitioning From Convolutional Neural Network to Involutional Neural Network
Enhancing Brain Tumor Diagnosis: Transitioning From Convolutional Neural Network to Involutional Neural Network Open
] Accurate classification of brain tumors is essential for effective medical diagnosis and treatment planning. Traditional approaches rely on convolutional neural networks (CNNs) for tumor detection, but they often suffer from high computa…
View article: Enhanced Adaptive Brain-Computer Interface Approach for Intelligent Assistance to Disabled Peoples
Enhanced Adaptive Brain-Computer Interface Approach for Intelligent Assistance to Disabled Peoples Open
Assistive devices for disabled people with the help of Brain-Computer Interaction (BCI) technology are becoming vital bio-medical engineering. People with physical disabilities need some assistive devices to perform their daily tasks. In t…
View article: Increasing awareness of radiation hazard and radiation protection among medical staff
Increasing awareness of radiation hazard and radiation protection among medical staff Open
The purpose of this study was to measure and increase the awareness of the risk of ionizing radiation and its protection among medical staff (non-radiological staff) at Najran region. This study was conducted in selected hospitals and heal…
View article: Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification
Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification Open
In the medical profession, recent technological advancements play an essential role in the early detection and categorization of many diseases that cause mortality. The technique rising on daily basis for detecting illness in magnetic reso…
View article: Multi-Level Deep Generative Adversarial Networks for Brain Tumor Classification on Magnetic Resonance Images
Multi-Level Deep Generative Adversarial Networks for Brain Tumor Classification on Magnetic Resonance Images Open
The brain tumor is an abnormal and hysterical growth of brain tissues, and the leading cause of death affected patients worldwide. Even in this technology-based arena, brain tumor images with proper labeling and acquisition still have a pr…
View article: A U-Net-Based CNN Model for Detection and Segmentation of Brain Tumor
A U-Net-Based CNN Model for Detection and Segmentation of Brain Tumor Open
Human brain consists of millions of cells to control the overall structure of the human body. When these cells start behaving abnormally, then brain tumors occurred. Precise and initial stage brain tumor detection has always been an issue …
View article: Liver Ailment Prediction Using Random Forest Model
Liver Ailment Prediction Using Random Forest Model Open
Today, liver disease, or any deterioration in one’s ability to survive, is extremely common all around the world. Previous research has indicated that liver disease is more frequent in younger people than in older ones. When the liver’s ca…
View article: Organ Dose and Radiation Exposure Risk: A Study Comparing Radiation Dose Using Two Software Packages
Organ Dose and Radiation Exposure Risk: A Study Comparing Radiation Dose Using Two Software Packages Open
With the rapid development of X-ray equipment, assessing the patient’s radiation dose has become an important issue. This study uses DoseCal and PCXMC software to estimate the effective dose (ED) for 510 adult patients undergoing abdomen a…
View article: Early Intervention of Skeletal Class III Malocclusion in Growing Patients Using RPHG. Case Report
Early Intervention of Skeletal Class III Malocclusion in Growing Patients Using RPHG. Case Report Open
Skeletal class III malocclusion which could result from maxillary retrognathia and/or mandibular prognathism necessitates multidisciplinary intervention.The impact of such skeletal discrepancies on esthetic and function was reported.Early …
View article: Awareness And Knowledge Of MRI Safety Among Radiological Students, Interns, Fresh Graduates And Trainees
Awareness And Knowledge Of MRI Safety Among Radiological Students, Interns, Fresh Graduates And Trainees Open
Background — Magnetic resonance imaging (MRI) is a safe imaging technique that provides superior soft tissue contrast compared to other radiological imaging modalities. The main objective of this study was to measure awareness and knowledg…
View article: A Novel-based Swin Transfer Based Diagnosis of COVID-19 Patients
A Novel-based Swin Transfer Based Diagnosis of COVID-19 Patients Open
The numbers of cases and deaths due to the COVID-19 virus have increased daily all around the world. Chest X-ray is considered very useful and less time-consuming for monitoring COVID disease. No doubt, X-ray is considered as a quick scree…
View article: Investigating of Classification Algorithms for Heart Disease Risk Prediction
Investigating of Classification Algorithms for Heart Disease Risk Prediction Open
Prognosis of HD is a complex task that requires experience and expertise to predict in the early stage. Nowadays, heart failure is rising due to the inherent lifestyle. The healthcare industry generates dense records of patients, which can…
View article: A Novel Inherited Modeling Structure of Automatic Brain Tumor Segmentation from MRI
A Novel Inherited Modeling Structure of Automatic Brain Tumor Segmentation from MRI Open
Brain tumor is one of the most dreadful worldwide types of cancer and affects people leading to death. Magnetic resonance imaging methods capture skull images that contain healthy and affected tissue. Radiologists checked the affected tiss…
View article: Human Emotions Classification Using EEG via Audiovisual Stimuli and AI
Human Emotions Classification Using EEG via Audiovisual Stimuli and AI Open
Electroencephalogram (EEG) is a medical imaging technology that can measure the electrical activity of the scalp produced by the brain, measured and recorded chronologically the surface of the scalp from the brain. The recorded signals fro…