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.
Ashfaq Chandio
Manchester University NHS Foundation Trust, United Kingdom
Ricky Rasschaert
AZ Rivierenland, Belgium
Gamal Al Saied
Al-Azhar University, Egypt
Afiq Rafidzy Bin Anwar Samhari
Galway University Hospital, Ireland
Jose Luis Braga De Aquino
Pontifical Catholic University, Brazil
Christos Costa
Oxford University Hospitals NHS Foundation Trust, United Kingdom
Habba Mahal
University of Alberta, CanadaSubmit your abstract Today
Title : When things go wrong! From victim to liability and the case of AI
Ricky Rasschaert, AZ Rivierenland, Belgium
Title : Innovation in general surgery
Ashfaq Chandio, Manchester University NHS Foundation Trust, United Kingdom
Title : The utility of AI in ultrasound guided regional anesthesia
Osman Ahmed, Al Khor Anesthesia HMC, Qatar
Title : Mycotic multilobed lumbar artery pseudoaneurysm resulting from epidural and psoas abscess embolized with NBCA glue: A case report
Ivy Kuo, Portsmouth Hospitals University Trust, United Kingdom
Title : Digital replantation in hours versus out of hours: A retrospective review of outcomes
Ivy Kuo, Portsmouth Hospitals University Trust, United Kingdom
Title : Analysis of morbidityof salvage esophagectomy in advanced esophageal cancer
Jose Luis Braga De Aquino, Pontifical Catholic University, Brazil