英文摘要
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The application of AI medical treatment has achieved exceptional results in both medical radiology and medical imaging; its accuracy and speed of detecting diseases even exceed that of human doctors. However, AI will have the problem of "Black Box". When people input data into AI, the system processes through complex neural network of deep learning, and then outputs the results of its judgment. However, how does AI make specific results or diagnosis suggestions? It is difficult for humans to understand its operation logic. The entire process is as opaque as a black box. In this case, if the AI medical system is wrong and misdiagnosed, who should bear the tort liability? This issue is worth exploring in depth. This article explores the tort liability for AI in healthcare under the US and EU legal systems, and compares it with Taiwan's legal system, to examine how Taiwan's tort liability system should be adjusted to the impact of future AI medical waves. I will discuss and analyze the relevant literature of the US, the EU and its member states, and Taiwan, including their legislation, amendments to the law, academic articles, and other valuable materials, and propose amendments to the current Taiwan's tort law framework so that it can fully reflect the international trends in the development of AI in healthcare.
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