Publications by authors named "K A Khalaf"
Introduction: Inflammatory bowel disease (IBD) patients have an increased risk of developing colorectal cancer. High-risk colorectal colitis-associated neoplasia (HR-CAN) can be difficult to treat using traditional endoscopic resection methods. Aim of the study is to evaluate the outcomes of endoscopic submucosal dissection (ESD) on IBD patients with HR-CANs.
View Article and Find Full Text PDFBackground: ERCP is a technically demanding procedure that carries a high cumulative adverse event (AE) rate of >10%. Identifying risk factors for adverse events is paramount. Procedure timing, as a surrogate for endoscopist fatigue, has been shown to influence key quality metrics in colonoscopy, but data on this relationship in ERCP is sparse.
View Article and Find Full Text PDFGastroesophageal reflux disease (GERD) after peroral endoscopic myotomy (POEM) has been a limiting factor with POEM. Sling-fiber preservation during POEM was reported to reduce postoperative GERD in Japan. This study investigates the efficacy of this technique in a western population.
View Article and Find Full Text PDFArticle Synopsis
- The study focuses on developing guidelines for the safe use of fluoroscopy in gastrointestinal endoscopy, balancing its benefits with concerns about radiation exposure to patients and healthcare workers.
- A modified Delphi method was used, involving three rounds of surveys with 46 experts, resulting in 43 proposed statements, of which 31 achieved consensus and were prioritized across various categories such as Patient Safety and Staff Safety.
- The final consensus statements highlight the importance of education and safety measures, with a significant majority rated as high priority, aiming to enhance safety culture in healthcare settings while utilizing fluoroscopy.
The use of artificial intelligence in colonoscopic evaluations.
Curr Opin Gastroenterol
January 2025
Article Synopsis
- This review discusses the impact of artificial intelligence (AI) on gastrointestinal endoscopy, especially in identifying colorectal polyps.
- AI systems, like computer-aided diagnosis for detection (CADe) and characterization (CADx), have improved polyp detection rates and helped differentiate between types of polyps, enhancing diagnostic accuracy.
- The study emphasizes that while AI greatly aids endoscopists, it should complement human skills rather than replace them, ensuring human oversight in clinical decision-making.