Objectives: The development of valuable artificial intelligence (AI) tools to assist with ultrasound diagnosis depends on algorithms developed using high-quality data. This study aimed to test the intra- and interobserver agreement of a proposed image-quality scoring system to quantify the quality of gynecological transvaginal ultrasound (TVS) images, which could be used in clinical practice and AI tool development.
Methods: A proposed scoring system to quantify TVS image quality was created following a review of the literature.
Multiple sclerosis (MS) is the most common cause of disability in young adults due to several motor, sensory, and cognitive symptoms. However, little is still known about the impact of psychological, cognitive, and social-support variables on subjective disability. This study is aimed at exploring the role of clinical, psychological, cognitive, and social-support variables in predicting disability levels as perceived by persons with multiple sclerosis (pwMS).
View Article and Find Full Text PDFBackground And Purpose: The global burden of neurological diseases exceeds 43.1%, imposing a significant burden on patients, caregivers and society. This paper presents a roadmap to reduce this burden and improve brain health (BH) in Europe.
View Article and Find Full Text PDFGynecol Obstet Invest
January 2025
Background: Endometriosis is a chronic disease characterized by endometrial-like tissue outside the uterus. Superficial endometriosis (SE) is the most prevalent form, yet it remains underdiagnosed due to subtle clinical and imaging presentations. Traditionally, diagnosis relies on laparoscopy, which is relatively invasive and often contributes to diagnostic delay.
View Article and Find Full Text PDFPract Radiat Oncol
January 2025