人工智能在肿瘤学中的机会:从临床医生和患者的角度。

IF 4.7 3区 医学 Q1 ONCOLOGY
Krunal Pandav, Sahar Almahfouz Nasser, Kristen H Kimball, Kristin Higgins, Anant Madabhushi
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引用次数: 0

摘要

关于人工智能(AI)和肿瘤学的研究已经发表了很多,其中很多都集中在算法的角度上。然而,很少有观点文章明确地从利益相关者(临床医生和患者)的角度讨论人工智能在肿瘤学中的作用。在这篇文章中,我们从临床医生和患者的角度深入探讨了人工智能在肿瘤学中的机会。从临床医生的角度,我们讨论了减少倦怠,加强决策,利用大量数据集提供循证建议,最终影响诊断准确性和治疗计划。从患者的角度出发,我们讨论了人工智能虚拟礼宾服务,它可以通过促进患者教育、心理健康支持和个性化的生活方式健康建议来改善癌症护理过程,从而促进整体护理方法。我们的目标是突出利益相关者未满足的需求,并指导机构在肿瘤学领域创造创新的人工智能解决方案。通过解决这些观点,我们的文章旨在弥合技术研究进步与其现实世界中以人工智能为重点的癌症治疗临床应用之间的差距。了解和优先考虑利益相关者的需求将促进有影响力的人工智能工具的开发和有意利用这些技术,目的是临床实施和集成到工作流程中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Opportunities for Artificial Intelligence in Oncology: From the Lens of Clinicians and Patients.

Much work has been published on artificial intelligence (AI) and oncology, with many focusing on an algorithm perspective. However, very few perspective articles have explicitly discussed the role of AI in oncology from the perspectives of the stakeholders-the clinicians and the patients. In this article, we delve into the opportunities of AI in oncology from the clinician's and patient's lens. From the clinician's perspective, we discuss reducing burnout, enhancing decision making, and leveraging vast data sets to provide evidence-based recommendations, eventually affecting diagnostic accuracy and treatment planning. From the patient's perspective, we discuss AI virtual concierge, which could improve the cancer care journey by facilitating patient education, mental health support, and personalized lifestyle wellness recommendations promoting a holistic approach to care. We aim to highlight the stakeholders' unmet needs and guide institutions to create innovative AI solutions in oncology. By addressing these perspectives, our article aims to bridge the gap between technological research advancements and their real-world AI-focused clinical applications in cancer care. Understanding and prioritizing the needs of the stakeholders will foster the development of impactful AI tools and intentional utilization of such technology, with an aim for clinical implementation and integration into workflows.

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来源期刊
CiteScore
6.40
自引率
7.50%
发文量
518
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