Artificial Intelligence (AI) encompasses the development of computer systems capable of tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Over time, numerous applications have emerged, with AI's integration into medicine marking a significant leap forward in healthcare delivery, diagnosis, and treatment. Among medical specialties, dermatology stands at the forefront of AI advancements, leveraging machine learning and deep learning to enhance dermatologists' abilities and improve patient care.
View Article and Find Full Text PDFPurpose: The aim of this study is to present a case of inflammatory myofibroblastic tumor (IMT) of the liver in a 4-year-old girl. We will discuss the diagnostic challenges, the role of the radiologist in differential diagnosis, treatment modalities, and clinical outcomes.
Methods: A case report of a 4-year-old girl with IMT of the liver is presented.
Thalassaemia, caused by over 250 mutations in the beta globin gene, changes the haematopoietic stem cell (HSC) differentiation, leading to ineffective erythropoiesis. This Wider Perspective article overlooks its underlying nature as a benign HSC disorder with a significant impact on the erythroid cell lineage. The simplicity of managing symptoms through transfusions and iron chelation therapy has shifted the focus away from the development of cell-based treatments.
View Article and Find Full Text PDFBackground: This is the first study to examine longitudinal associations between self-selected timing of moderate-to-vigorous physical activity (MVPA) and health outcomes in young adults over 18 months.
Methods: Young adults (N = 434, Mage = 23.9, SDage = 4.