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Artificial Intelligence in Medical Diagnosis: Advanced Imaging Analysis of Paraesophageal Hernia

  AI-Assisted Radiologic Diagnosis, Clinical Management, and Surgical Outcomes in Hiatal Hernia Meta Description AI-assisted diagnosis of Paraesophageal Hernia using radiography and upper GI imaging. Expert review of pathophysiology, epidemiology, imaging findings, differential diagnosis, treatment strategies, and prognosis with clinical case analysis. Abstract Artificial Intelligence (AI) is rapidly transforming modern medical diagnostics, particularly in radiology and gastroenterology. Machine learning–driven image analysis enables earlier detection of complex structural abnormalities such as Paraesophageal Hernia (PEH) , a rare but potentially life-threatening form of hiatal hernia. This expert-level review analyzes a clinical case involving a symptomatic paraesophageal hernia confirmed through chest radiography and upper gastrointestinal contrast imaging. The article explores the pathophysiology, epidemiology, clinical presentation, imaging characteristics, differential diag...

AI-Driven Diagnosis and Treatment of Osteomalacia: Advanced Imaging, Clinical Insights, and Precision Medicine Approaches