Management strategies and outcomes of thromboembolism prevention in atrial fibrillation co-existing with immune thrombocytopenia: A review of evidence.

This review aimed to assess bleeding risks and explore management options in atrial fibrillation (AF) patients with immune thrombocytopenia (ITP), aiming to formulate an optimal therapeutic approach for improved patient prognosis. Employing MeSH terms, a comprehensive search strategy identified articles on bleeding risks and management guidelines in AF combined with ITP. Original research papers were included, while animal studies, reviews, and non-English articles were excluded.

Deep learning enhances acute lymphoblastic leukemia diagnosis and classification using bone marrow images.

Acute lymphoblastic leukemia (ALL) poses a significant health challenge, particularly in pediatric cases, requiring precise and rapid diagnostic approaches. This comprehensive review explores the transformative capacity of deep learning (DL) in enhancing ALL diagnosis and classification, focusing on bone marrow image analysis. Examining ten studies conducted between 2013 and 2023 across various countries, including India, China, KSA, and Mexico, the synthesis underscores the adaptability and proficiency of DL methodologies in detecting leukemia.