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.
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 : Artificial intelligence in colorectal surgery: From preoperative planning to intraoperative navigation
Ajit Naniksingh Kukreja, Ratandeep - Dr Kukreja's Laser Piles Clinic, India
Title : Isolated gallbladder injury following blunt abdominal trauma: A rare surgical presentation
Afua Timah Agyei, Medway Maritime Hospital, United Kingdom
Title : Association of alpha-fetoprotein levels with tumour size and aetiological factors in hepatocellular carcinoma: A cross-sectional analysis
Nayab Ahsan, University Hospitals Sussex, United Kingdom
Title : Perioperative nutritional optimisation within enhanced recovery pathways: Impact on postoperative morbidity and length of stay following elective abdominal surgery
Nayab Ahsan, University Hospitals Sussex, United Kingdom