Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(9), P. 3111 - 3111
Published: April 30, 2025
Background: Artificial intelligence (AI) is increasingly shaping the landscape of emergency surgery by offering real-time decision support, enhancing diagnostic accuracy, and optimizing workflows. However, its implementation raises significant ethical concerns, particularly regarding accountability, transparency, patient autonomy, bias. Objective: This perspective paper, grounded in a narrative review, explores dilemmas associated with AI proposes future directions for responsible equitable integration. Methods: A comprehensive review was conducted using PubMed, Scopus, Web Science, Google Scholar, covering literature published from January 2010 to December 2024. We focused on peer-reviewed articles discussing surgical or care highlighting ethical, legal, regulatory issues. thematic analysis used synthesize main challenges. Results: Key concerns identified include issues accountability AI-assisted decision-making, "black box" effect bias algorithmic design, data privacy protection, lack global coherence. Thematic domains were developed around beneficence, justice, informed consent. Conclusions: Responsible requires transparent explainable models, diverse representative datasets, robust consent frameworks, clear guidelines liability oversight. Interdisciplinary collaboration essential align technological innovation patient-centered ethically sound clinical practice.
Language: Английский