The Prevalence of Autoimmune Diseases Among Children With Type I Diabetes Mellitus.

Background Type I diabetes mellitus (T1DM) is a prevalent chronic illness that typically manifests in childhood. In patients who are genetically predisposed to diabetes, complex interactions between environmental and genetic factors play a role in the development of type 1 diabetes. There is proof that the onset of type 1 diabetes raises the possibility of developing additional autoimmune conditions.

Community Awareness and Perceptions of Genitourinary Malformations: A Cross-Sectional Survey Study.

Background And Objectives: On a local and national scale, genitourinary malformations (GUMs) are the second most encountered congenital anomaly in children. GUMs are linked to several risk factors, including maternal co-morbidities and insufficient folic acid. They may also be related to maternal health and care during pregnancy.

Awareness, Beliefs, and Psychological Impact of Patients with Alopecia Areata in Saudi Arabia: A Multi-Center Study.

Purpose: Alopecia Areata (AA) is a complex autoimmune condition characterized by long-term inflammatory non-scarring patches of hair loss on the face, scalp, and body. Its development involves a combination of genetic, immunological, and environmental factors, making it challenging to understand and treat. This study aims to assess the awareness, beliefs, and psychological impact of patients with Alopecia Areata.

The efficacy and safety of oral and vaginal misoprostol versus dinoprostone on women experiencing labor: A systematic review and updated meta-analysis of 53 randomized controlled trials.

Background: Induction of labor is the process of artificially stimulating the uterus to start labor before the spontaneous onset of labor. It has several medical indications. Commonly used agents are vaginal misoprostol, vaginal prostaglandin E2 (dinoprostone), and oral misoprostol.

The Saudi Community View of the Use of Artificial Intelligence in Health Care.

Objectives: Artificial intelligence (AI) holds the promise to revolutionize the field of medicine and enhance the well-being of countless patients. Its capabilities span various areas, including disease prevention, accurate diagnosis, and the development of innovative treatments. Moreover, AI has the potential to streamline health-care delivery and lower expenses.