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肿瘤学中人工智能的机遇:临床医生和患者视角

Opportunities for Artificial Intelligence in Oncology: From the Lens of Clinicians and Patients.

作者信息

Pandav Krunal, Almahfouz Nasser Sahar, Kimball Kristen H, Higgins Kristin, Madabhushi Anant

机构信息

Emory University, Atlanta, GA.

Patient Advocate and Independent Researcher, Boston, MA.

出版信息

JCO Oncol Pract. 2025 Mar 13:OP2400797. doi: 10.1200/OP-24-00797.

Abstract

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.

摘要

关于人工智能(AI)与肿瘤学的研究成果颇丰,其中许多研究聚焦于算法层面。然而,从利益相关者——临床医生和患者的角度,明确探讨人工智能在肿瘤学中作用的观点文章却寥寥无几。在本文中,我们从临床医生和患者的视角深入探究人工智能在肿瘤学中的机遇。从临床医生的角度来看,我们讨论了减轻职业倦怠、改善决策制定以及利用海量数据集提供循证建议,最终影响诊断准确性和治疗规划。从患者的角度出发,我们讨论了人工智能虚拟助手,它可以通过促进患者教育、心理健康支持以及提供个性化的生活方式健康建议,推动全面护理方法,从而改善癌症护理过程。我们旨在突出利益相关者未被满足的需求,并引导机构在肿瘤学领域创建创新的人工智能解决方案。通过阐述这些观点,我们的文章旨在弥合技术研究进展与癌症护理中以人工智能为重点的实际临床应用之间的差距。了解并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,并促使人们有意利用此类技术,目标是实现临床应用并融入工作流程。

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