6th Edition of Global Conference on Surgery and Anaesthesia
September 15-17, 2025 | 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.
Darwin Eton
Vasogenesis Inc, United States
Nagy Habib
Imperial College London, United Kingdom
Ricky Rasschaert
AZ Rivierenland, Belgium
Shohreh Ghasemi
Advisory board of Oklahoma University, United States
John R Bach
Rutgers University, United States
Amy Meyers Wickman
Alta Orthopaedics, United States
Dandan Li
University of Cincinnati, United StatesSubmit your abstract Today
Title : Advanced esophageal cancer palliative surgical therapy using isoperistaltic gastric tube
Jose Luis Braga De Aquino, Pontifical Catholic University, Brazil
Title : Evolution of surgical oncology
Nagy Habib, Imperial College London, United Kingdom
Title : Cell therapy for chronic ischemia
Darwin Eton, Vasogenesis Inc, United States
Title : Improving post-operative analgesia regimens after emergency major abdominal surgery
Shifa Bangi, Oxford University Hospitals NHS Trust, United Kingdom
Title : Utility of near-infrared spectroscopy in monitoring renal perfusion following adult kidney transplantation
Sujeet Rai, Dr Ram Manohar Lohia Institute of Medical Sciences, India
Title : Multidisciplinary management of complex skull base pathologies whats in store for the future
Michael Karsy, University of Michigan, United States