The authors of the study conducted a systematic review to identify and evaluate various documents that provide recommendations on the ethical, technical, and clinical use of AI. 

They examined how these guidelines address key issues such as patient safety, transparency, accountability, data privacy, and the integration of AI into clinical workflows.

In this paper, the authors highlight the urgent need for global standardization to ensure AI technologies are implemented consistently and responsibly across diverse healthcare settings. 

Despite the increasing number of guidelines and consensus statements, these documents vary considerably in scope, emphasis, and depth, addressing topics such as the technical development of AI, ethical considerations, and clinical applications, among others.

This review serves as a valuable resource for healthcare professionals, AI developers, and policymakers navigating the complex landscape of AI in medicine. As AI technology continues to advance, adhering to clear standards and principles will be essential for building trust and ensuring that its benefits are realized by both healthcare providers and patients alike.