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About

Dr. Nikdokht Rashidian is a pioneering researcher at the intersection of artificial intelligence, surgical ethics, and hepatopancreatobiliary (HPB) medicine. Her work critically examines the ethical and trustworthy deployment of machine learning in high-stakes surgical environments, with a particular focus on HPB procedures. Her most cited paper, "Applications of machine learning in surgery: ethical considerations" (2022, 7 citations), published in *Artificial Intelligence Surgery*, establishes foundational principles for navigating the moral complexities of AI-driven surgical tools, including issues of bias, accountability, and patient autonomy. Building on this, her 2024 study "Ethics and trustworthiness of artificial intelligence in Hepato-Pancreato-Biliary surgery" (6 citations) provides a unique snapshot of global perspectives, drawing from a survey of the European-African Hepato-Pancreato-Biliary Association (E-AHPBA). This work not only maps current attitudes but also highlights critical gaps in trust and transparency among surgeons. Dr. Rashidian’s contributions are vital for ensuring that AI integration into surgery is both innovative and ethically sound, guiding future policy and practice in digital surgery.