提高患者疗效:临床实用性在指导医疗服务提供者策划放射学人工智能应用中的作用。

IF 3.2 Q1 HEALTH CARE SCIENCES & SERVICES Frontiers in digital health Pub Date : 2024-03-07 eCollection Date: 2024-01-01 DOI:10.3389/fdgth.2024.1359383
Franziska Lobig, Jacob Graham, Apeksha Damania, Brian Sattin, Joana Reis, Prateek Bharadwaj
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引用次数: 0

摘要

人工智能(AI)的发展占据了各大媒体的头条,放射诊断成像技术也不例外,人工智能在当今的技术领域正扮演着越来越重要的角色。人工智能驱动的放射诊断成像应用(数字诊断)的数量正在迅速增加,这些应用既有商业化的,也有正在开发中的,而这些工具能为患者和医疗服务提供者带来的潜在益处也在迅速扩大。医疗服务提供商在寻求利用数字诊断学的潜在优势时,可以考虑以系统化和结构化的方式评估这些工具及其相应的用例,以确保最佳的资本部署、资源利用,并最终实现患者的治疗效果或临床效用。在利用临床效用来策划数字诊断时,我们提出了几个指导性主题。
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Enhancing patient outcomes: the role of clinical utility in guiding healthcare providers in curating radiology AI applications.

With advancements in artificial intelligence (AI) dominating the headlines, diagnostic imaging radiology is no exception to the accelerating role that AI is playing in today's technology landscape. The number of AI-driven radiology diagnostic imaging applications (digital diagnostics) that are both commercially available and in-development is rapidly expanding as are the potential benefits these tools can deliver for patients and providers alike. Healthcare providers seeking to harness the potential benefits of digital diagnostics may consider evaluating these tools and their corresponding use cases in a systematic and structured manner to ensure optimal capital deployment, resource utilization, and, ultimately, patient outcomes-or clinical utility. We propose several guiding themes when using clinical utility to curate digital diagnostics.

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CiteScore
4.20
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审稿时长
13 weeks
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