Precision in practice: Unraveling the impact of artificial intelligence (AI) on surgical advancements.

Background: AI can provide objective, quantitative data from the operative room to stakeholders to not-only ensure they present accurate and granular data to attendees, but also so they can perform detailed root-cause analysis to identify often opaque or overlooked intraoperative factors that may have impacted the clinical outcomes. This enables the surgical team members to recognize surgical errors and events both during surgery and retrospectively is important in promoting future prevention of such surgical errors. AI-enhanced robotics only have the potential to enable automation in surgery at varying levels of autonomy. One limitation that hospitals and health care systems highlight concerns about medico-legal issues that may arise from capturing and evaluating granular data sources. Other limitation that AI endangers the surgical ethics and affects the patients’ privacy data so that the implications of fairness and taxonomy of algorithmic bias in AI system are important factors in the ethics of AI. The aim of the study is to explore and synthesize existing literature to elucidate the significance and impact of AI on surgical advancements, highlighting its value in improving surgical outcomes, techniques, and overall patient care. Conclusion: The Use of AI in surgery is time saving, decrease surgical malpractice, enhance surgical outcomes for patients with accurate medical documentations and surgical research. However, incorporation of AI into surgery presents unique and challenging problems that necessitate novel regulation