Diverticular disease is a common and complex gastrointestinal condition, particularly in Western societies, where it places a significant burden on healthcare systems. While many with diverticulosis are asymptomatic, progression to conditions like diverticulitis, diverticular bleeding, or Segmental Colitis Associated with Diverticulosis (SCAD) can lead to serious health issues requiring effective management. This course, presented by experts Kassem Sharif, Adi Lahat, and Oded Zmora, offers a comprehensive overview of diverticular disease. It covers epidemiology, clinical presentation, diagnosis, pathophysiology, and treatment options, with a focus on managing complicated diverticulitis. The course includes 50 minutes of video lectures and PowerPoint presentations, with an estimated completion time of 60 minutes, including a final assessment.

This comprehensive course introduces participants to the transformative role of artificial intelligence in gastroenterology. Designed for healthcare professionals, the course covers fundamental AI concepts, clinical applications, and research perspectives. Key topics include machine learning techniques, AI-assisted diagnostics, and the integration of AI systems in clinical practice. Participants will explore the benefits and challenges of AI adoption, ethical considerations, and the regulatory landscape, with an emphasis on evidence-based decision-making.

The course includes extensive PowerPoint presentations and tailored video lectures. Examples are used to demonstrate real-world applications of the material. The total duration of the course is approximately 50 minutes, with an estimated completion time of 60 minutes, including the final assessment.

This interactive course explores why optimising polyp detection is central to high-quality colonoscopy and its direct impact on morbidity and mortality. Designed for general gastroenterologists and young endoscopists, the course addresses key quality indicators, bowel preparation, scoping techniques, and the integration of AI for improved detection. Participants will learn to interpret and apply optical diagnosis systems (NICE, WASP, LST-classification, BLINC) and to choose appropriate therapeutic strategies tailored to polyp type and patient context. Surveillance intervals and outcome factors, including family history and syndromes, will be discussed in line with ESGE guidelines. Case-based discussions will focus on communication with patients regarding diagnosis and management. By combining expert testimony, videos, and practical strategies, the course aims to improve participants’ endoscopic practice, ensuring earlier detection, appropriate treatment, and better long-term outcomes.

Target Audience:

• Gastroenterologists (in training)
• Other physicians and surgeons
• Nurses
• Medical students