调查姑息治疗和安宁疗护中人工智能应用的数据多样性和模型稳健性:范围审查协议》。

IF 1.4 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Research Protocols Pub Date : 2024-10-08 DOI:10.2196/56353
Selen Bozkurt, Soraya Fereydooni, Irem Kar, Catherine Diop Chalmers, Sharon L Leslie, Ravi Pathak, Anne Walling, Charlotta Lindvall, Karl Lorenz, Tammie Quest, Karleen Giannitrapani, Dio Kavalieratos
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引用次数: 0

摘要

背景:人工智能(AI)已成为医疗保健领域的关键要素,在包括姑息治疗和临终关怀服务在内的各个医疗领域都取得了重大进展。这些服务的重点是改善患有局限生命疾病的病人的生活质量,而人工智能处理复杂数据集的能力可以在这些敏感环境中加强决策和个性化护理。然而,将人工智能纳入姑息治疗和临终关怀需要仔细研究,以确保其反映这些环境的多面性:本范围综述旨在系统地描绘姑息关怀和安宁疗护环境中的人工智能前景,重点关注数据的多样性和模型的稳健性。目的是了解人工智能的作用、临床整合及其开发的透明度,最终为开发符合既定伦理准则和原则的人工智能应用奠定基础:我们的范围界定审查包括六个阶段:(1) 确定研究问题;(2) 确定相关研究;(3) 选择研究;(4) 绘制数据图表;(5) 整理、总结和报告结果;(6) 咨询利益相关者。我们在多个数据库中进行了检索,包括 MEDLINE、PubMed、Embase.com、IEEE Xplore、ClinicalTrials.gov 和 Web of Science Core Collection,涵盖了从每个数据库建立之初到 2023 年 11 月 1 日的研究。我们使用了一套全面的检索词来获取相关研究,如果非英文记录的摘要不是英文的,则将其排除在外。数据提取将遵循系统性方法,利益相关者咨询将完善研究结果:2023 年 11 月进行的电子数据库搜索共收集到 4614 项研究。在去除重复内容后,根据预先设定的标准筛选出 330 项研究进行全文审阅,以确定其是否符合条件。提取的数据将整理成表格,以帮助撰写叙述性摘要。综述预计将于 2025 年 5 月完成:本次范围界定综述将促进对姑息关怀和安宁疗护中人工智能的了解,重点关注数据多样性和模型的稳健性。国际注册报告标识符(irrid):DERR1-10.2196/56353。
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Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review.

Background: Artificial intelligence (AI) has become a pivotal element in health care, leading to significant advancements across various medical domains, including palliative care and hospice services. These services focus on improving the quality of life for patients with life-limiting illnesses, and AI's ability to process complex datasets can enhance decision-making and personalize care in these sensitive settings. However, incorporating AI into palliative and hospice care requires careful examination to ensure it reflects the multifaceted nature of these settings.

Objective: This scoping review aims to systematically map the landscape of AI in palliative care and hospice settings, focusing on the data diversity and model robustness. The goal is to understand AI's role, its clinical integration, and the transparency of its development, ultimately providing a foundation for developing AI applications that adhere to established ethical guidelines and principles.

Methods: Our scoping review involves six stages: (1) identifying the research question; (2) identifying relevant studies; (3) study selection; (4) charting the data; (5) collating, summarizing, and reporting the results; and (6) consulting with stakeholders. Searches were conducted across databases including MEDLINE through PubMed, Embase.com, IEEE Xplore, ClinicalTrials.gov, and Web of Science Core Collection, covering studies from the inception of each database up to November 1, 2023. We used a comprehensive set of search terms to capture relevant studies, and non-English records were excluded if their abstracts were not in English. Data extraction will follow a systematic approach, and stakeholder consultations will refine the findings.

Results: The electronic database searches conducted in November 2023 resulted in 4614 studies. After removing duplicates, 330 studies were selected for full-text review to determine their eligibility based on predefined criteria. The extracted data will be organized into a table to aid in crafting a narrative summary. The review is expected to be completed by May 2025.

Conclusions: This scoping review will advance the understanding of AI in palliative care and hospice, focusing on data diversity and model robustness. It will identify gaps and guide future research, contributing to the development of ethically responsible and effective AI applications in these settings.

International registered report identifier (irrid): DERR1-10.2196/56353.

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