Reshaping The Precision In Surgery: Empowering Artificial Intelligence With Scalpels
- IJLLR Journal
- Mar 28
- 1 min read
Shanmuga Raman. A, B.A.LL.B. (Hons.), Chettinad School of Law
ABSTRACT
Advancements in artificial intelligence (AI) have catalyzed transformative changes across various domains, and surgery is no exception. This abstract provides an overview of the evolution of AI in surgery, tracing its journey from its early applications to its current state and speculating on the potential future developments. Before the advent of AI, surgery heavily relied on the skills and experience of surgeons, often leading to variations in outcomes. Surgeons faced challenges in decision-making, precision, and post-operative monitoring. However, with the integration of AI, the surgical landscape has experienced a paradigm shift. The past decade witnessed the emergence of AI-powered tools for preoperative planning, image analysis, and robot- assisted surgery. These technologies enhanced diagnostic accuracy, enabled personalized treatment plans, and facilitate minimally invasive procedures, consequently improving patient outcomes.
Machine learning algorithms analyze vast amounts of patient data, including medical histories, imaging results, and genetic profiles, to assist in early disease detection and stratification. Surgical robots driven by AI algorithms allow for greater dexterity, reduced fatigue, and enhanced visualization, empowering surgeons to perform intricate procedures with heightened precision. Furthermore, real-time data analysis during surgery enables immediate decision support, transforming complex procedures into safer and more efficient interventions.
Looking ahead, the future of AI in surgery appears promising and is poised to reshape the field even further. Virtual reality and augmented reality interfaces could become integral to surgical training, providing immersive learning experiences for aspiring surgeons.
Keywords: medical, surgery, assistance, robot, privacy, ethics, artificial, intelligence, data, consent
