Interdisciplinary Dialogues on Surgical Data Science: Revising its Benefits for Surgical Stakeholders and Patients

Abstract

Recent advancements in data science and robotic surgery have introduced significant opportunities and challenges in the field of healthcare. To assess their implications, a multidisciplinary panel of experts in medicine and computer science convened to evaluate the potential benefits, risks, and ethical considerations associated with these technologies. The discussion addressed critical topics, including the role of Artificial Intelligence (AI) in enhancing surgical decision-making, the integration of robotics to improve procedural precision, and the broader socioeconomic and psychological impacts on patients and their families. Particular attention was given to the perspectives of key surgical stakeholders, including healthcare professionals and institutions, as well as the implications for equity and accessibility in surgical care. This paper presents a synthesis of the key outcomes from the deliberations. By identifying research gaps and proposing strategic directions, the findings aim to serve as a foundational resource for future investigations and innovations in data-driven and robotic-assisted surgery.

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