MediAI

  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...

Clinical Hook A 37-year-old man visited a dental clinic because of persistent oral pain and loose teeth that had gradually worsened over one year. Four teeth had fallen out spontaneously during the previous six months without significant trauma. Initially, severe periodontal disease was suspected. However, another clue emerged. The patient also reported excessive thirst and frequent urination that had developed several months earlier. Laboratory evaluation demonstrated hypernatremia and dehydration, suggesting diabetes insipidus rather than uncontrolled diabetes mellitus. These seemingly unrelated findings transformed an ordinary dental consultation into a complex multidisciplinary investigation involving oral surgery, radiology, endocrinology, pathology, and medical oncology. Panoramic radiography revealed one of the most characteristic imaging signs in skeletal radiology—the classic "floating teeth" appearance produced by destructive osteolytic lesions involving the...