7th Edition of Global Conference on Surgery and Anaesthesia
September 24-26, 2026 | Hybrid Event
Artificial Intelligence in Surgery and Anesthesia
The integration of artificial intelligence in surgery and anesthesia is enhancing clinical outcomes through data-driven insights and advanced predictive algorithms. In surgery, AI-powered systems assist with preoperative planning, guiding surgeons through complex procedures with unprecedented precision. Intraoperative AI applications, such as augmented reality and robotic systems, offer real-time data and decision support. For anesthesia, AI systems analyze vital signs, drug interactions, and patient history to predict responses and adjust dosages, improving safety and efficacy. By leveraging machine learning, AI can assist in detecting early complications, personalizing treatment plans, and optimizing recovery protocols. As these technologies evolve, AI will play an even more central role in refining surgical techniques, enhancing anesthesia management, and personalizing patient care in real-time.
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Title : Spontaneous colonic perforation in a pediatric patient with acute febrile lllness: A case report
Abhiraj Yadav, Manipal College of Medical Sciences, Nepal
Title : Unusual cause of small bowel obstructions in infants: A warning letter to parents
Gamal Al Saied, Al-Azhar University, Egypt
Title : From panic to protocol: A ?IP on developing a paediatric breast referral pathway
Neriah Mangion, University Hospital Sussex NHS Foundation Trust , United Kingdom
Title : Improving scrotal examination in male patients presenting with acute abdominal pain: An audit and quality improvement intervention
Maab Elsaddig, University Hospital Lewisham, United Kingdom
Title : Mapping pediatric general surgery training in low and middle income countries: A scoping review
Habba Mahal, University of Alberta, Canada
Title : Improving implementation of enhanced recovery after cesarean section protocol in resource limited setting of Koidu Government Hospital Sierra Leone 2024/25. A quality improvement project from evidence to reality
Hailemariam Getachew, PIH, Sierra Leone