Awareness and Attitudes of the Saudi Population Towards Bariatric Surgery in Saudi Arabia.

: Obesity is a growing public health concern worldwide, and Saudi Arabia faces rising rates of obesity-related conditions, including diabetes and cardiovascular diseases. Bariatric surgery is a recognized treatment for severe obesity, offering significant health benefits. This study evaluates the Saudi population's awareness and attitudes towards bariatric surgery, examining knowledge levels, perceptions, and potential barriers.

Prevalence of physical and mental health problems among internally displaced persons in White Nile state, Sudan 2023: a cross sectional study.

Background: Following the latest war in 2023, over nine million people have been internally displaced, of which White Nile State received over 50,000. They lived in different camps and moved to big cities. This study assessed the scope of mental and physical concerns among the IDPs to identify important healthcare needs.

A nested case-control study of adverse outcomes in children with diabetic ketoacidosis.

Background: Adverse Outcomes (death or ICU stays longer than 48h) in children with diabetic ketoacidosis (DKA) or hyperglycemic-hyperosmolar syndrome (HHS) can be predicted by a composite risk score based on severity of hyperglycemia and acidosis, and presence of type 2 diabetes. Because most high-risk patients nevertheless do not experience an Adverse Outcome, we tried to identify differences in management or other clinical characteristics that influenced outcomes.

Methods: In a previously defined group of 4565 admissions for DKA-HHS in 2010-2023, 109 had Adverse Outcomes.

Empowering cancer prevention with AI: unlocking new frontiers in prediction, diagnosis, and intervention.

Artificial intelligence is rapidly changing our world at an exponential rate and its transformative power has extensively reached important sectors like healthcare. In the fight against cancer, AI proved to be a novel and powerful tool, offering new hope for prevention and early detection. In this review, we will comprehensively explore the medical applications of AI, including early cancer detection through pathological and imaging analysis, risk stratification, patient triage, and the development of personalized prevention approaches.

Annotation Practices in Computational Pathology: A European Society of Digital and Integrative Pathology (ESDIP) Survey Study.

Integrating digital pathology and artificial intelligence (AI) algorithms can potentially improve diagnostic practice and precision medicine. Developing reliable, generalizable, and comparable AI algorithms depends on access to meticulously annotated data. However, achieving this requires robust collaboration among pathologists, computer scientists, and other researchers to ensure data quality and consistency.