A5020140091- AI in cancer detection
- COVID-19 diagnosis using AI
- Radiation Dose and Imaging
- Radiology practices and education
- COVID-19 and Mental Health
- Radiomics and Machine Learning in Medical Imaging
- Brain Tumor Detection and Classification
- Dental Research and COVID-19
- Ultrasound in Clinical Applications
- COVID-19 epidemiological studies
- COVID-19 Clinical Research Studies
- Orthopedic Surgery and Rehabilitation
- Long-Term Effects of COVID-19
- Glioma Diagnosis and Treatment
- Histiocytic Disorders and Treatments
- Clinical Reasoning and Diagnostic Skills
- Innovations in Medical Education
- Cerebrospinal fluid and hydrocephalus
- Advances in Oncology and Radiotherapy
- Machine Learning and ELM
- Infrared Thermography in Medicine
- COVID-19 Pandemic Impacts
- Antifungal resistance and susceptibility
- Health Literacy and Information Accessibility
- Artificial Intelligence in Healthcare and Education
Qassim University
2019-2024
Buraydah Colleges
2022-2024
King Faisal Specialist Hospital & Research Centre
2022
King Saud Medical City
2022
Riyadh Armed Forces Hospital
2022
Majmaah University
2022
Najran University
2022
King Fahad Specialist Hospital
2021
King Khalid University Hospital
2014
The COVID-19 pandemic has enhanced the adoption of virtual learning after urgent suspension traditional teaching. Different online strategies were established to face this crisis. present descriptive cross-sectional study was conducted reveal different digital procedures implemented by College Medicine at Qassim University for better student performance and achievement.The switch into distance-based managed digitalization committee. Multiple workshops staff students about value such a shift....
The Coronavirus disease 2019 (COVID-19) is an infectious spreading rapidly and uncontrollably throughout the world. critical challenge rapid detection of infected people. available techniques being utilized are body-temperature measurement, along with anterior nasal swab analysis. However, taking swabs lab testing complex, intrusive, require many resources. Furthermore, lack test kits to meet exceeding cases also a major limitation. current develop some technology non-intrusively detect...
In today's world, a brain tumor is one of the most serious diseases. If it detected at an advanced stage, might lead to very limited survival rate. Therefore, classification crucial for appropriate therapeutic planning improve patient life quality. This research investigates deep-feature-trained detection and differentiation model using classical/linear machine learning classifiers (MLCs). this study, transfer used obtain deep magnetic resonance imaging (MRI) scan features from constructed...
Breast cancer is widespread worldwide and can be cured if diagnosed early. Using digital mammogram images image processing with artificial intelligence play an essential role in breast diagnosis. As many computerized algorithms for diagnosis have significant limitations, such as noise handling varying or low contrast the images, it difficult to segment abnormal region. These challenges could overcome by proposing a new pre-processing model, exploring its impact on post-processing module,...
Breast cancer is widespread around the world and can be cured if diagnosed at an early stage. Digital mammograms are used as most effective imaging modalities for diagnosis of breast cancer. However, mammography images suffer from low contrast, background noise well contrast non-coherency among regions, these factors makes challenging. These problems overcome by using a new image enhancement technique. The objective this research work to enhance improve overall process segmentation...
Abstract This study aimed to examine the validity and reproducibility of strain elastography (SE) for detecting prostate cancer (PCa) in patients with elevated prostate-specific antigen (PSA) levels. The included 107 PSA All eligible underwent transrectal ultrasound (TRUS) real-time (RTE) detect suspicious lesions. Two readers independently evaluated lesions assigned a ratio score each lesion. Histopathology was used as reference standard estimate RTE predicting malignant An intraclass...
Gliomas are a type of brain tumor that requires accurate monitoring for progression following surgery. The Brain Tumor Reporting and Data System (BT-RADS) has emerged as potential tool improving diagnostic accuracy reducing the need repeated operations. This prospective multicenter study aimed to evaluate reliability BT-RADS in predicting (TP) postoperative glioma patients its acceptance clinical practice. enrolled with history partial or complete resection high-grade glioma. All underwent...
Purpose: Carpal tunnel syndrome (CTS) is a common condition characterized by compression of the median nerve (MN) within carpal tunnel. Accurate diagnosis and assessment CTS severity are crucial for appropriate management decisions. This study aimed to investigate combined diagnostic utility B-mode ultrasound (US) shear wave elastography (SWE) assessing in comparison electrodiagnostic tests (EDT). Materials Methods: prospective observational was conducted over 9-month periods at tertiary...
Brain tumors reduce life expectancy due to the lack of a cure. Moreover, their diagnosis involves complex and costly procedures such as magnetic resonance imaging (MRI) lengthy, careful examination determine severity. However, timely brain in early stages may save patient's life. Therefore, this work utilizes MRI with machine learning approach diagnose tumor severity (glioma, meningioma, no tumor, pituitary) manner. Gaussian nonlinear scale features are extracted robustness over rotation,...
Digital mammography (DM) is the cornerstone of breast cancer detection. tomosynthesis (DBT) an advanced imaging technique used for diagnosing and screening lesions, particularly in dense breasts. This study aimed to evaluate impact combining DBT with DM on BI-RADS categorization equivocal lesions. We prospectively evaluated 148 females lesions (BI-RADS 0, 3, 4) DM. All patients underwent DBT. Two experienced radiologists analyzed They then assigned a category each lesion according 2013...
Diagnostic radiology is a key diagnostic tool in many different conditions and ccrucial for monitoring, treating, predicting outcomes. Accurately interpreting basic radiological images paramount skill medical professionals. Therefore, this study aimed to assess clinical-phase students interns' knowledge on evident findings CT scans. This observational cross-sectional was conducted single region Saudi Arabia from May 2022 December 2022. An electronic questionnaire were used collect data....
Understanding the consistency of pituitary macroadenomas is crucial for neurosurgeons planning surgery. This retrospective study aimed to evaluate utility diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) as non-invasive modalities predicting macroadenomas. could contribute appropriate surgical therefore reduce likelihood incomplete resections. The included 45 patients with pathologically confirmed Conventional MRI sequences, DWIs, ADC maps, pre- post-contrast MRIs...
Breast cancer (BC) is the most common cause of women’s deaths worldwide. The mammography technique important modality for detection BC. To detect abnormalities in mammographic images, Imaging Reporting and Data System (BI-RADs) used as a baseline. correct allocation BI-RADs categories images always an interesting task, even specialists. In this work, to classify mammogram BI-RADs, novel hybrid model presented using convolutional neural network (CNN) with integration support vector machine...
The numbers of cases and deaths due to the COVID-19 virus have increased daily all around world. Chest X-ray is considered very useful less time-consuming for monitoring COVID disease. No doubt, as a quick screening method, but variations in features images which are X-rays category with Corona confirmed cases, domain expert needed. To address this issue, we proposed utilize deep learning approaches. In study, dataset COVID-19, lung opacity, viral pneumonia, lastly healthy patients' utilized...
There has been a notable increase in rhino-orbito-cerebral mucormycosis (ROCM) post-coronavirus disease 2019 (COVID-19), which is an invasive fungal infection with fatal outcome. Magnetic resonance imaging (MRI) valuable tool for early diagnosis of ROCM and assists the proper management these cases. This study aimed to describe characteristic MRI findings post-COVID-19 patients help patients. retrospective descriptive was conducted at single hospital included 52 COVID-19 histopathologically...
A case of cerebrospinal fluid (CSF) pseudocysts in a patient with ventriculoperitoneal (VP) shunt is reported to describeacute unusual location developmentof pseudocyst. In the setting VP shunt, frequency abdominal CSF pseudocyst formation approximately 4.5%, often being precipitated by recent inflammatory/infective process or surgery. Larger tend be sterile, whereas smaller multiloculated are more infected. Computed tomography (CT) and ultrasound (US) has characteristic findings. This an...
Worldwide, COVID-19 is a highly contagious epidemic that has affected various fields. Using Artificial Intelligence (AI) and particular feature selection approaches, this study evaluates the aspects affecting health of students throughout lockdown time. The research presented in paper plays vital role indicating factor during pandemic. article investigates COVID-19's impact on student using selections. Filter technique used work to statistically analyze all features dataset, for better...
The coronavirus disease-2019 (COVID-19) is a global public health disaster imposing nationwide lockdown. This study was undertaken to determine the impact of COVID-19 quarantine on physical, nutritional, psychosocial life, and work aspects population Saudi Arabia.Data collection based fear Scale (FCV-19S) analyzed by Likert-type scale. A total 2828 individuals participated during their quarantine. data were collected June 10-17, 2020 using FCV-19S.COVID-19 negatively correlated with life...
Since reporting cases of breast cancer are on the rise all over world. Especially in regions such as Pakistan, Saudi Arabia, and United States. Efficient methods for early detection diagnosis needed. The usual procedures followed by physicians has been updated with modern diagnostic approaches that include computer-aided support better accuracy. Machine learning based practices increased accuracy efficiency medical diagnosis, which helped save lives many patients. There is much research...
Erdheim-Chester disease (ECD) is an infrequent, autoimmune disorder that not Langerhans histiocytosis and characterized by bilateral sclerosis of the diametaphyseal medullary regions long bones possible multiorgan involvement. A mononuclear foam histiocyte infiltrate determines condition's histopathologic form extensive fibrosis. case ECD in a 52-year-old man with retroperitoneal infiltration bone involvement described here, whom diagnosis was established only after 3-year course multiple...
Abstract Background Thyroid imaging reporting and data system (TI-RADS) is assessment of risk stratification thyroid nodules, using a score. A novel ACR (American College Radiology) TI-RADS has been recently suggested by American Radiology. But, the utility in for lesion needs further evaluation. Aim Of this study was to evaluate classification discriminating benign from other lesions as detected fine needle aspiration cytology (FNAC). Methods This retrospective included all patients...
COVID-19 is a profoundly contagious pandemic that has taken the world by storm and afflicted different fields of life with negative effects. It had substantial impact on education which evident from transition Face-to-Face (F2F) teaching to online mode rigid implementation lockdown across globe. This study examines factors impacting performance teachers during period using various feature selection algorithms Artificial Intelligence techniques. In this paper, we have proposed novel...
Objective: To investigate the medical students’ performance with and perception towards different multimedia imaging tools. Method: The cross-sectional study was conducted at College of Medicine, Qassim University, Saudi Arabia, from 2019 to 2020, comprised third year undergraduate students during academic 2019-2020. were divided into tow groups. Those receiving multimedia-enhanced problem-based learning sessions in intervention group A, while those traditional control B. Scores formative...
BACKGROUND: The importance of exercise is improving the human body in different ways. Studies have shown that physical activity has a relationship with enhancement immune system and maintains fit state, which explains positive results exposure to infection. Aim study: To measure effectiveness moderate concerning symptoms, severity, recovery rate COVID-19 patients METHODS: This cross-sectional study conducted main cities Qassim region Saudi Arabia. investigation was undertaken during pandemic...