Clinical use-cases and implementation guidelines for the development of valuable AI

EJC paediatric oncology Pub Date : 2024-08-29 DOI:10.1016/j.ejcped.2024.100187

Karina C. Borja Jiménez , Patrick Kemmeren , Marry van den Heuvel-Ebrink , Ronald de Krijger , Martha Grootenhuis , Marita Partanen , Norbert Graf , Shuping Wen , Alexander Leemans , Daniel L. Oberski , Reineke A. Schoot , Johannes H.M. Merks

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Abstract

Contributing to UNICA4EU’s vision to upscale and wide-scale the application of AI technology to pediatric cancer care, this paper provides guidelines for the development of an AI-based ecosystem and its potential implementation into clinical practice. We also provide clinical use cases (UC) that depict scenarios at different stages of the patient journey and showcase how data collected through different methods and techniques interact and could synergize with AI tools to improve diagnosis and risk stratification, facilitate clinical decision making, and help to adequately monitor patients’ quality of life (QoL). Pediatric oncologists and AI specialists crafted each UC considering current standards, unmet needs, and advancements in both precision medicine and AI to address identified challenges. UC depict transferable methods and processes applicable to other diseases, and show how different techniques could ideally converge at different stages, representing a use case on its own.

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开发有价值人工智能的临床应用案例和实施指南

UNICA4EU 的愿景是提升和扩大人工智能技术在儿科癌症护理中的应用，本文为开发基于人工智能的生态系统及其在临床实践中的潜在应用提供了指导。我们还提供了临床用例 (UC)，描述了患者治疗过程中不同阶段的场景，展示了通过不同方法和技术收集的数据如何与人工智能工具相互作用、协同增效，以改善诊断和风险分层，促进临床决策，并帮助充分监控患者的生活质量 (QoL)。儿科肿瘤专家和人工智能专家在制定每项 UC 时，都会考虑到当前的标准、未满足的需求以及精准医疗和人工智能的进步，以应对已确定的挑战。UC 描述了适用于其他疾病的可转移方法和流程，并展示了不同技术如何在不同阶段理想地融合，这本身就是一个用例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

EJC paediatric oncology

CiteScore

0.20

自引率

0.00%

发文量