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

工作流程 透视图(图形) 医学 肿瘤科 心理学 人工智能 计算机科学 数据库
作者
Krunal Pandav,Sahar Almahfouz Nasser,Kristen H. Kimball,Kristin Higgins,Anant Madabhushi
出处
期刊:JCO oncology practice [Lippincott Williams & Wilkins]
标识
DOI:10.1200/op-24-00797
摘要

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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