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Commentary | Open Access

The roadblocks to AI adoption in surgery: Data, real‐time applications and ethics

Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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This paper explores the critical barriers to AI integration in surgery, focusing on challenges in data management, real‐time application and ethics. It emphasizes the need for robust data‐sharing frameworks, advancements in real‐time processing capabilities and ethical guidelines to ensure responsible AI deployment.

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Medicine Advances
Pages 380-383

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Cite this article:
Cunha Reis T. The roadblocks to AI adoption in surgery: Data, real‐time applications and ethics. Medicine Advances, 2024, 2(4): 380-383. https://doi.org/10.1002/med4.82

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Published: 08 December 2024
© 2024 The Author(s). Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.