Knowledge, Attitude, and Practice (KAP) Regarding the Use of Artificial Intelligence in Hospital Settings in Mardan, Khyber Pakhtunkhwa, Pakistan.

Background Artificial intelligence (AI) is revolutionizing healthcare globally by enhancing diagnostic accuracy, predicting patient outcomes, and enabling personalized treatment plans. However, in low- and middle-income countries (LMICs) like Pakistan, the integration of AI into healthcare is limited due to challenges such as lack of funding, provider resistance, and inadequate training. Despite these barriers, there is growing interest among healthcare providers in understanding and adopting AI technologies to improve professional efficiency.

Risk Stratification for Autoimmune Hemolytic Anemia in Children With Pediatric Transfusion-Dependent Thalassemia.

Objective This study aimed to identify the risk factors for autoimmune hemolytic anemia (AIHA) in children with transfusion-dependent thalassemia (TDT). Methodology This cross-sectional study was conducted at the Department of Child Health, Khyber Teaching Hospital, Peshawar, Pakistan, from March 25, 2024, to September 25, 2024. A total of 300 patients under 18 years of age, diagnosed with TDT, were included in the study.