Background And Purpose: Hand fractures are commonly presented in emergency departments, yet diagnostic errors persist, leading to potential complications. The use of artificial intelligence (AI) in fracture detection has shown promise, but research focusing on hand metacarpal and phalangeal fractures remains limited. We aimed to train and evaluate a convolutional neural network (CNN) model to diagnose metacarpal and phalangeal fractures using plain radiographs according to the AO/OTA classification system and custom classifiers.
View Article and Find Full Text PDFBackground: Dissociative amnesia, a disorder characterized by impairments in multiple memory areas, is frequently associated with trauma. Complex post-traumatic stress disorder (CPTSD) is marked by mood dysregulation, negative self-concept, and impaired interpersonal relationships, in addition to the classic symptoms of post-traumatic stress disorder (PTSD). The relationship between CPTSD and dissociative amnesia, as well as whether CPTSD should be considered a dissociative subtype, remains uncertain in the literature.
View Article and Find Full Text PDFObjectives: The most effective treatment for end-stage renal failure is renal transplant. Nonadherence to medication is one of the most important factors in organ rejection and an important problem in pediatric renal transplant and an important cause of graft failure. Adherence is the most important modifiable factor that affects treatment outcomes.
View Article and Find Full Text PDFBackground: Twenty-four-hour mean arterial pressure (MAP) is underutilized for the diagnosis and risk assessment of hypertension in clinical settings. The objective of this study is to assess the relation of MAP with systolic and diastolic blood pressure (BP) in diagnosing hypertension on 24-hour ambulatory blood pressure monitoring (ABPM), while also examining its diagnostic effectiveness.
Methods: This retrospective study analyzed 24-hour ABPM of 532 adults.