Evaluation of the Impact of Artificial Intelligence on Clinical Practice of Radiology in Saudi Arabia.

Background: Artificial Intelligence (AI) is becoming integral to the health sector, particularly radiology, because it enhances diagnostic accuracy and optimizes patient care. This study aims to assess the awareness and acceptance of AI among radiology professionals in Saudi Arabia, identifying the educational and training needs to bridge knowledge gaps and enhance AI-related competencies.

Methods: This cross-sectional observational study surveyed radiology professionals across various hospitals in Saudi Arabia.

Secondary Sjögren's syndrome in a rheumatoid arthritis patient: A case report and review of literature.

Secondary Sjogren's syndrome (sSS) is a medical condition that occurs in individuals with autoimmune diseases such as systemic lupus erythematosus (SLE) and rheumatoid arthritis. It predominantly affects females rather than males. We present a case of a 32-year-old female with a 3-year history of rheumatoid arthritis (RA) who presented to the internal medicine and rheumatology clinic with several complaints, including swelling and tenderness in her left jaw, dry mouth (xerostomia), irritated eyes (xerophthalmia), severe joint pain, and a decreased in saliva production.

Enhancing radiation safety awareness and practices among female radiographers: a comprehensive approach.

Objective: This study evaluates the level of radiation safety awareness and adherence to protective practices among pregnant female radiographers in the United Arab Emirates, aiming to identify gaps and develop targeted interventions for enhancing occupational safety.

Methods: Employing a cross-sectional design, the study surveyed 133 female radiographers using a self-developed questionnaire covering demographics, awareness and knowledge, workplace practices, communication, and satisfaction.

Results: The survey showed high awareness among radiographers, with 97% acknowledging radiation risks during pregnancy, although 42.

Deep learning-based automated bone age estimation for Saudi patients on hand radiograph images: a retrospective study.

Purpose: In pediatric medicine, precise estimation of bone age is essential for skeletal maturity evaluation, growth disorder diagnosis, and therapeutic intervention planning. Conventional techniques for determining bone age depend on radiologists' subjective judgments, which may lead to non-negligible differences in the estimated bone age. This study proposes a deep learning-based model utilizing a fully connected convolutional neural network(CNN) to predict bone age from left-hand radiographs.

The impact of different imaging modalities in diagnosis and management of patient with dural arteriovenous fistula: A rare case report.

In vascular neurosurgery, dural arteriovenous fistulas (DAVFs) are a difficult, challenging condition whose natural history and therapy are still debated. This case report presented a 30-year-old male patient who experienced intermittent headaches for two months, along with gradual weakness in all four limbs, resulting in quadriplegia. Magnetic resonance imaging (MRI), computed tomography (CT), and digital subtraction angiography (DSA) played a significant role in the diagnosis of the patient, in which the final diagnosis was vascular myelopathy due to Dural arteriovenous fistula (DAVF).

The efficacy of machine learning models in lung cancer risk prediction with explainability.

Among many types of cancers, to date, lung cancer remains one of the deadliest cancers around the world. Many researchers, scientists, doctors, and people from other fields continuously contribute to this subject regarding early prediction and diagnosis. One of the significant problems in prediction is the black-box nature of machine learning models.

Optimizing CT Abdomen-Pelvis Scan Radiation Dose: Examining the Role of Body Metrics (Waist Circumference, Hip Circumference, Abdominal Fat, and Body Mass Index) in Dose Efficiency.

: This study investigates the correlation between patient body metrics and radiation dose in abdominopelvic CT scans, aiming to identify significant predictors of radiation exposure. Employing a cross-sectional analysis of patient data, including BMI, abdominal fat, waist, abdomen, and hip circumference, we analyzed their relationship with the following dose metrics: the CTDI, DLP, and SSDE. Results from the analysis of various body measurements revealed that BMI, abdominal fat, and waist circumference are strongly correlated with increased radiation doses.

Vein of Galen aneurysmal malformation associated with brain abscess: A computed tomography case report.

Vein of Galen malformation (VGM) is a rare congenital, uncommon intracerebral vascular anomaly rarely complicated with the development of brain abscess as secondary to primary infection or after endovascular treatment. We report a very rare finding of a vein of Galen aneurysm associated with a large brain abscess at the time of diagnosis. A 12-year-old boy with a high-grade fever, severe headache, and recurrent episodes of convulsions came into the radiology department of Kassala Advanced Diagnostic Center.

The impact of health volunteering of radiology students on improving their self-skills and practical capabilities in the Kingdom of Saudi Arabia.

Background: Volunteering is a beneficial activity with a wide range of positive outcomes, from the individual to the communal level. In many ways, volunteering has a positive impact on the development of a volunteer's personality and experience. This study aimed to evaluate the impact of health volunteering on improving the self-skills and practical capacities of students in the western region of the Kingdom of Saudi Arabia.

Assessment of the Knowledge and Practice of Infection Control among Radiographers in Saudi Arabia: A Cross-Sectional Survey Study.

Unlabelled: Effective control of healthcare-associated infections (HAIs) involves a collaborative effort among various healthcare stakeholders, including healthcare workers, patients, and professionals. Radiographers, as essential members of the healthcare team, play a crucial role in HAI prevention by diligently adhering to standard infection control precautions (SICP) and maintaining a high level of knowledge regarding infection control procedures. The study aimed to assess the knowledge and practice of radiographers concerning infection control in radiology departments in Saudi Arabia.

Exploring Radiographers' Engagement in Research: Motivation and Barriers in Five Arab Countries.

(1) Background: This study aims to comprehensively understand the motivations driving radiographers in five Arab countries to engage in research. (2) Methods: A cross-sectional study employing an anonymous online survey was conducted for 12 weeks from May to July 2023. The study sample consisted of 250 radiographers, with equal representation from Iraq, the Kingdom of Saudi Arabia, Palestine, Sudan, and the United Arab Emirates.

Monkeypox genome mutation analysis using a timeseries model based on long short-term memory.

Monkeypox is a double-stranded DNA virus with an envelope and is a member of the Poxviridae family's Orthopoxvirus genus. This virus can transmit from human to human through direct contact with respiratory secretions, infected animals and humans, or contaminated objects and causing mutations in the human body. In May 2022, several monkeypox affected cases were found in many countries.

A closer look at the current knowledge and prospects of artificial intelligence integration in dentistry practice: A cross-sectional study.

Background: Healthcare professionals have expressed worries about using AI, while others anticipate more work opportunities in the future and better patient care. Integrating AI into practice will directly impact dentistry practice. The purpose of the study is to evaluate organizational readiness, knowledge, attitude, and willingness to integrate AI into dentistry practice.

How Different Preparation Techniques Affect MRI-Induced Anxiety of MRI Patients: A Preliminary Study.

Magnetic resonance imaging (MRI) exams may cause patients to feel anxious before or during the scan, which affects the scanning outcome and leads to motion artifacts. Adequate preparation can effectively alleviate patients' anxiety before the scan. We aimed to assess the effect of different preparation methods on MRI-induced anxiety: We conducted a prospective randomized study on MRI patients between March and May 2022.

Persistent Mullerian duct syndrome with polycystic ovary in a young adult: A rare case report.

Persistent Mullerian Duct Syndrome (PMDS) is a type of pseudohermaphroditism that occurs in males. It is an autosomal recessive type of familial disease that is commonly associated with a history of consanguinity. We have documented this case of a 22-year-old adult male who came with acute right iliac pain; after an ultrasound scan and hormone investigations, he was diagnosed with polycystic ovarian syndrome (PCOS).

Breast Cancer Classification by Using Multi-Headed Convolutional Neural Network Modeling.

Breast cancer is one of the most widely recognized diseases after skin cancer. Though it can occur in all kinds of people, it is undeniably more common in women. Several analytical techniques, such as Breast MRI, X-ray, Thermography, Mammograms, Ultrasound, etc.

Artificial Intelligence in Pediatric Cardiology: A Scoping Review.

The evolution of AI and data science has aided in mechanizing several aspects of medical care requiring critical thinking: diagnosis, risk stratification, and management, thus mitigating the burden of physicians and reducing the likelihood of human error. AI modalities have expanded feet to the specialty of pediatric cardiology as well. We conducted a scoping review searching the Scopus, Embase, and PubMed databases covering the recent literature between 2002-2022.