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 : 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 : 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 : Evolution of surgical oncology
Nagy Habib, Imperial College London, United Kingdom
Title : Improvement in general surgery handover
Amaan Akhter, Nottingham University Hospitals NHS Foundation Trust, United Kingdom
Title : Giant anterior sacral meningocele masquerading as cystic sacrococcygeal teratoma in a neonate: A diagnostic pitfall and literature review
Gamal Al Saied, Al-Azhar University, Egypt
Title : Tracheostomy-free total ventilatory support
John R Bach, Rutgers University, United States