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 : Understanding of foley catheter care and implications amongst patients at Multi Institute private practice
Ojas Vijayanand Potdar, Thunga STH Hospital, India
Title : To what extent do disease modifying anti rheumatic drugs affect bone union in trauma and orthopaedic patients
Myat P Pan, The Royal National Orthopaedic Hospital, United Kingdom
Title : Spontaneous colonic perforation in a pediatric patient with acute febrile lllness: A case report
Abhiraj Yadav, Manipal College of Medical Sciences, Nepal