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...

Glomus Jugulare Paraganglioma: The Skull Base Tumor Every Radiologist Must Recognize Introduction A middle-aged woman presents with progressive right-sided hearing loss and intermittent vertigo. Initial clinical suspicion may include vestibular schwannoma, chronic otitis media, or age-related auditory dysfunction. However, advanced imaging reveals a highly vascular skull base lesion centered at the jugular foramen. The final diagnosis? Glomus jugulare paraganglioma. Although uncommon, this tumor remains one of the most important jugular foramen lesions encountered in neuroradiology. Failure to recognize its imaging appearance may delay diagnosis, complicate surgical planning, and increase morbidity. With modern MRI, temporal bone CT, molecular PET imaging, and emerging AI-assisted diagnostic workflows, radiologists now possess powerful tools for early detection and characterization. This article reviews a classic case and explores the imaging hallmarks, differential diagnosis, pathophy...

Case Review: The Role of FDG-PET/CT in Diagnosing and Predicting Prognosis in Metastatic Breast Cancer Revisión de caso: El papel de la FDG-PET/CT en el diagnóstico y la predicción del pronóstico del cáncer de mama metastásico 증례 검토: 전이성 유방암 진단 및 예후 예측에 있어서 FDG-PET/CT의 역할 Introduction: The Expanding Role of PET/CT in Breast Cancer Management Breast cancer is among the most commonly diagnosed malignancies in women worldwide. The clinical trajectory of metastatic breast cancer (MBC), characterized by its poor prognosis and treatment complexity, calls for precise diagnostic and staging tools. While traditional imaging methods such as ultrasound, mammography, and MRI provide detailed anatomical insights, functional imaging via 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) has revolutionized the assessment of disease burden and therapy response. This column discusses a representative clinical case to highlight the diagnostic and prognostic utility of F...