医疗保健解决方案中的生成性人工智能:机遇与挑战综述

Generative AI in Healthcare Solutions: A Review of Opportunities and Challenges.

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摘要(中文译文)

生成式人工智能(Generative Artificial Intelligence,GenAI)融入电子健康(eHealth)标志着数字健康解决方案在设计、开发和部署方面的变革性转变。GenAI通过实现个性化照护、自动化临床工作流程、减轻临床医生负担以及支持预测性干预,正在重塑医疗健康。此外,它还能增强患者参与度、促进适应性治疗策略、加强医学教育、改善照护质量并提升运营效率。然而,其应用需要通过利益相关方的协同努力以及严格的、针对特定领域的评估来应对伦理、技术和实施方面的挑战。本研究系统性地开展文献调查,以识别和分析GenAI融入医疗健康领域所涉及的关键机遇与挑战。此外,本研究提供了一份路线图,以指导未来旨在优化临床效率并提升整体医疗质量的研究与技术开发。

Abstract

The integration of Generative Artificial Intelligence (GenAI) into eHealth represents a transformative shift in the design, development, and deployment of digital health solutions. GenAI is reshaping healthcare by enabling personalized care, automating clinical workflows, reducing clinician burden, and supporting predictive interventions. Moreover, it enhances patient engagement, facilitates adaptive therapeutic strategies, strengthens medical education, improves care quality, and operational efficiency. Its adoption, however, requires addressing ethical, technical, and implementation challenges through coordinated stakeholder efforts and rigorous, domain-specific evaluation. The study systematically conducts a literature survey to identify and analyze the key opportunities and challenges associated with GenAI integration in healthcare. Furthermore, this offers a roadmap to guide future research and technological development aimed at optimizing clinical 5 efficiency and advancing overall healthcare quality.

如何引用

AMA

Sio Lai Karppinen, Nirnaya Tripathi. Generative AI in Healthcare Solutions: A Review of Opportunities and Challenges.. Studies in health technology and informatics. 2026; doi:10.3233/SHTI260311.

APA

Sio Lai Karppinen, Nirnaya Tripathi (2026). Generative AI in Healthcare Solutions: A Review of Opportunities and Challenges.. Studies in health technology and informatics. https://doi.org/10.3233/SHTI260311

GB/T 7714

Sio Lai Karppinen, Nirnaya Tripathi. Generative AI in Healthcare Solutions: A Review of Opportunities and Challenges.[J]. Studies in health technology and informatics, 2026 doi:10.3233/SHTI260311.

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