6th Edition of Global Conference on Surgery and Anaesthesia
September 15-17, 2025 | Hybrid Event
Surgical Robotics: Present and Future
The field of surgical robotics: present and future continues to evolve, shaping the future of surgery with unmatched precision, efficiency, and minimally invasive capabilities. Robotic-assisted procedures, such as robotic prostatectomies and cardiac surgeries, now allow for smaller incisions, quicker recovery times, and improved accuracy. These advancements are enabled by cutting-edge technologies such as 3D visualization, enhanced dexterity, and real-time data integration. The future promises even greater integration of artificial intelligence (AI) and machine learning, where robotic systems will not only assist but also guide surgical decision-making. As robotic platforms become more accessible and affordable, they will redefine not only surgical practice but also patient expectations, paving the way for less invasive, more personalized interventions across various specialties.
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 : Microbial spectrum and histo-pathological pattern in patients with breast abscess: A 5 year retrospective study in a tertiary care rural teaching hospital in South India
Caroline Francis, Hull Royal Infirmary, United Kingdom
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 : The coincidence between spinal perineural cysts, increased intracranial pressure and the appearance of small fiber neuropathy. Exploring the relationship and (surgical) lessons to be learned
Ricky Rasschaert, AZ Rivierenland, Belgium
Title : Predicting reductions in acute pain and opioid consumption with non-opioid analgesics: A machine learning analysis of randomised controlled trials (OPERA study)
Toluwalogo Daramola, University of Nottingham, United Kingdom