2 research outputs found

    Management of a massive choledochal cyst in a 12 year-old girl: Which imaging modalities should be performed preoperatively?

    Get PDF
    A previously well 12 year-old girl presented to the emergency department with a three-day history of fatigue, pruritus, and epigastric discomfort. Abdominal ultrasound revealed a cystic mass in the right upper quadrant measuring 17.0 × 13.2 × 11.7 cm. Magnetic resonance imaging (MRI) confirmed the diagnosis of a choledochal cyst and hepatobiliary iminodiacetic acid (HIDA) scintigraphy demonstrated a communication between the cyst and biliary tree. Percutaneous cholangiography was also performed but did not provide additional diagnostic information. The patient was brought to the operating room a few days later for open resection of the choledochal cyst, cholecystectomy, and Roux-en-Y hepaticojejunostomy. Frozen sections were obtained to ensure complete excision of cyst mucosa. The patient continues to do well more than 18 months post-operatively with no signs of recurrent inflammation or malignancy. Multiple imaging modalities may be used preoperatively to assess the anatomy and subtype of choledochal cysts. The role of invasive options, such as percutaneous cholangiography or endoscopic retrograde cholangiopancreatograpy (ERCP), remains limited and unclear. Here, we present a potential imaging algorithm to assist with preoperative workup and avoid invasive diagnostic procedures whenever possible

    Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education

    No full text
    Implementing a reform in medical education requires students’ awareness regarding the importance of artificial intelligence (AI) in modern medical practice. The objective of this study was to investigate students’ perceptions of AI in medical education. A cross-sectional survey was conducted from June 2021 to November 2021 using an online questionnaire to collect data from medical students in the Faculty of Medicine at Kuwait University, Kuwait. The response rate for the survey was 51%, with a sample size of 352. Most students (349 (99.1%)) agreed that AI would play an important role in healthcare. More than half of the students (213 (60.5%)) understood the basic principles of AI, and (329 (93.4%)) students showed comfort with AI terminology. Many students (329 (83.5%)) believed that learning about AI would benefit their careers, and (289 (82.1%)) believed that medical students should receive AI teaching or training. The study revealed that most students had positive perceptions of AI. Undoubtedly, the role of AI in the future of medicine will be significant, and AI-based medical practice is required. There was a strong consensus that AI will not replace doctors but will drastically transform healthcare practices
    corecore