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.
Nagy Habib
Imperial College London, United Kingdom
Ashfaq Chandio
Manchester University NHS Foundation Trust, United Kingdom
Ricky Rasschaert
AZ Rivierenland, Belgium
Jose Luis Braga De Aquino
Pontifical Catholic University, Brazil
Sagar Aravind Jawale
Jawale Hospital, India
Fabrizio Bonanno
Polokwane Mankweng Hospitals Complex, South Africa
Osman Ahmed
Al Khor Anesthesia HMC, QatarSubmit your abstract Today
Title : Unusual cause of small bowel obstructions in infants: A warning letter to parents
Gamal Al Saied, Al-Azhar University, Egypt
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 : 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 : The rhinologist as developer: A practical framework for prompt engineering and app creation in clinical practice
Ayan Ibrat, Gloucestershire Hospitals NHS Trust, United Kingdom
Title : Incarcerated pre-sternal epigastric hernia causing closed-loop large bowel obstruction
Sarah Stevenson, Antrim Area Hospital, United Kingdom