DeepSeek reshaping healthcare in China's tertiary hospitals
- URL: http://arxiv.org/abs/2502.16732v2
- Date: Thu, 27 Feb 2025 10:24:58 GMT
- Title: DeepSeek reshaping healthcare in China's tertiary hospitals
- Authors: Jishizhan Chen, Qingzeng Zhang,
- Abstract summary: DeepSeek is a leading AI system, widely deployed across China's tertiary hospitals since January 2025.<n>With continued technological advancements, AI is expected to integrate multimodal data sources, such as genomics and radiomics.<n>The future of AI in healthcare depends on the development of transparent regulatory structures, industry collaboration, and adaptive governance frameworks.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The rapid integration of artificial intelligence (AI) into healthcare is transforming clinical decision-making and hospital operations. DeepSeek has emerged as a leading AI system, widely deployed across China's tertiary hospitals since January 2025. Initially implemented in Shanghai's major medical institutions, it has since expanded nationwide, enhancing diagnostic accuracy, streamlining workflows, and improving patient management. AI-powered pathology, imaging analysis, and clinical decision support systems have demonstrated significant potential in optimizing medical processes and reducing the cognitive burden on healthcare professionals. However, the widespread adoption of AI in healthcare raises critical regulatory and ethical challenges, particularly regarding accountability in AI-assisted diagnosis and the risk of automation bias. The absence of a well-defined liability framework underscores the need for policies that ensure AI functions as an assistive tool rather than an autonomous decision-maker. With continued technological advancements, AI is expected to integrate multimodal data sources, such as genomics and radiomics, paving the way for precision medicine and personalized treatment strategies. The future of AI in healthcare depends on the development of transparent regulatory structures, industry collaboration, and adaptive governance frameworks that balance innovation with responsibility, ensuring equitable and effective AI-driven medical services.
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