MediAI

  Clinical Hook Imagine evaluating an 84-year-old man who arrives at the emergency department with fever, shortness of breath, and newly developed confusion. At first glance, these symptoms suggest pneumonia, sepsis, or even stroke. Physical examination reveals no remarkable findings, and there is no obvious source of infection. Then an abdominal contrast-enhanced CT unexpectedly reveals a coarsely calcified lesion within the spleen . Most clinicians would initially consider healed granulomatous disease, old trauma, splenic infarction, or calcified neoplasm. Few would immediately suspect brucellosis , especially in a patient whose occupational exposure occurred more than five decades earlier. However, blood cultures ultimately identify Brucella suis , confirming reactivation of chronic splenic brucellosis. This remarkable case demonstrates that zoonotic infections can persist silently for decades before becoming clinically apparent. For radiologists, infectious disease specialists,...

  Introduction Artificial Intelligence (AI) is rapidly transforming modern medicine, particularly in the field of medical imaging. Radiology, once heavily dependent on human interpretation, is now augmented by powerful AI algorithms that can detect subtle abnormalities, improve diagnostic accuracy, and accelerate clinical workflows. This transformation is especially critical in rare diseases, where early detection and accurate diagnosis remain challenging even for experienced specialists. One such rare condition is Langerhans Cell Histiocytosis (LCH)—a disease traditionally associated with pediatric populations. However, the emergence of atypical adult cases presents a significant diagnostic challenge. In this article, we explore a real-world clinical case of adult calvarial LCH, highlighting how AI-powered imaging, radiology expertise, and clinical decision support systems converge to achieve accurate diagnosis and optimal patient outcomes. Clinical Background Langer...