Implementing Artificial Intelligence in Radiology: Design Thinking Road Map

Vitor Ulisses Monnaka

doi:10.2196/87360

2026-01-01

PRE

Vitor Ulisses Monnaka *

Jéssica Andrade-Silva

Gilberto Szarf

Henrique Min Ho Lee

DOI：10.2196/87360

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摘要

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尽管其在医疗保健领域（尤其是在医学影像方面）具有变革潜力，但人工智能（AI）融入临床实践仍是一个复杂且多方面的挑战。在实际应用中，AI工具可能表现出有限的临床影响、次优性能和安全漏洞，并面临监管限制。本文探讨了设计思维原则如何为放射学中的AI实施提供结构化路线图。通过强调以用户为中心、促进跨学科合作和嵌入迭代优化，该方法为识别临床和运营需求、选择和验证适当方案以及确保有效部署并持续改进提供了实用指导。

Keyword:

artificial intelligence

radiology

design thinking

clinical implementation

human-centered design

technology adoption

期刊

JMIR AI

IF:

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机构

Hospital Israelita Albert Einstein

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4.5K

论文数: 2.2K

被引数: 2.2K

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