In our Country through the acquired experience, we have reached the 10 more frequent diagnostics in laparoscopies of urgency. 1) Our 10 more frequent diagnosis in laparoscopy were: Salpingitis 27.5%; Appendicitis 18%; Ovarian cyst 18%; Inflammatory localized processes 8.5%; Ectopic pregnancy 4.5%; Peritonitis 4%; Piosalpinx 3.5%; Cholecystitis 3%; Hemoperitoneum 3%; Metritis 2%. 2) That acute abdomen conditions should be diagnosed as early as possible. 3) That the maximum time employed to this diagnostic must not depass of six hours from the onset of the symptomatology. 4) That if at that time a diagnostic has not been established by all resources at the hands of the physician, an emergency laparoscopy shall be indicated. 5) That, this laparoscopy of urgency ought to be performed immediately at an Specialized Service and by a qualified endoscopist. 6) That, a qualified endoscopist shall be able to issue a laparoscopic diagnostic of the pathologies of the different abdominal organs, digestives and gynecological, in adults and children.
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JGH Open
December 2024
Ministry of Health Honiara Solomon Islands.
Aims: This study aims to evaluate the current state of endoscopy services in Pacific Island Countries (PICs) by quantifying human and material resources, including the number of trained endoscopists and nurses, the types of procedures performed, and the availability and maintenance of endoscopic equipment.
Methods And Results: A mixed methods survey was conducted in 2023, targeting doctors and nurses who participated in the WGO-FNU-ANZGITA endoscopy training program as well as non-participants. Survey invitations were sent through email, WhatsApp, and Facebook Messenger.
J Laparoendosc Adv Surg Tech A
July 2024
Department of General and Transplant Surgery, Medical University of Lodz, Lodz, Poland.
J Gastroenterol Hepatol
September 2024
Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Background And Aim: Reliable bowel preparation assessment is important in colonoscopy. However, current scoring systems are limited by laborious and time-consuming tasks and interobserver variability. We aimed to develop an artificial intelligence (AI) model to assess bowel cleanliness and evaluate its clinical applicability.
View Article and Find Full Text PDFJ Imaging Inform Med
October 2024
Department of Gastroenterology, The First Affiliated Hospital of Soochow University, # 899 Pinghai St., Suzhou, Jiangsu, 215006, China.
Gastrointest Endosc
October 2024
Gastrointestinal Endoscopy Center, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China. Electronic address:
Background And Aims: Accurate bowel preparation assessment is essential for determining colonoscopy screening intervals. Patients with suboptimal bowel preparation are at a high risk of missing >5 mm adenomas and should undergo an early repeat colonoscopy. In this study, we used artificial intelligence (AI) to evaluate bowel preparation and validated the ability of the system to accurately identify patients who are at high risk of having >5 mm adenomas missed due to inadequate bowel preparation.
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