Advancements in Artificial Intelligence in Emergency Medicine in Taiwan: A Narrative Review.

IF 0.8 Q4 EMERGENCY MEDICINE Journal of acute medicine Pub Date : 2024-03-01 DOI:10.6705/j.jacme.202403_14(1).0002
Bing-Hung Shih, Chien-Chun Yeh
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Abstract

The rapid progression of artificial intelligence (AI) in healthcare has greatly influenced emergency medicine, particularly in Taiwan-a nation celebrated for its technological innovation and advanced public healthcare. This narrative review examines the current status of AI applications in Taiwan's emergency medicine and highlights notable achievements and potential areas for growth. AI has wide capabilities encompass a broad range, including disease prediction, diagnostic imaging interpretation, and workflow enhancement. While the integration of AI presents promising advancements, it is not devoid of challenges. Concerns about the interpretability of AI models, the importance of dataset accuracy, the necessity for external validation, and ethical quandaries emphasize the need for a balanced approach. Regulatory oversight also plays a crucial role in ensuring the safe and effective deployment of AI tools in clinical settings. As its footprint continues to expand in medical education and other areas, addressing these challenges is imperative to harness the full potential of AI for transforming emergency medicine in Taiwan.

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台湾急诊医学人工智能的发展:叙述性综述。
人工智能(AI)在医疗保健领域的快速发展极大地影响了急诊医学,尤其是在台湾--一个以技术创新和先进的公共医疗保健而闻名的国家。这篇叙述性综述探讨了人工智能在台湾急诊医学中的应用现状,并重点介绍了显著的成就和潜在的发展领域。人工智能的功能十分广泛,包括疾病预测、影像诊断解读和工作流程改进。虽然人工智能的整合带来了充满希望的进步,但也并非没有挑战。人们对人工智能模型的可解释性、数据集准确性的重要性、外部验证的必要性以及道德问题的关注,都强调了采取平衡方法的必要性。监管部门的监督对于确保在临床环境中安全有效地部署人工智能工具也起着至关重要的作用。随着人工智能在医学教育和其他领域的应用不断扩大,要充分发挥人工智能的潜力,改变台湾的急诊医学,解决这些挑战势在必行。
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来源期刊
Journal of acute medicine
Journal of acute medicine EMERGENCY MEDICINE-
CiteScore
0.80
自引率
0.00%
发文量
20
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