癌症疾病的发生对于患者和他们的家人来说是一个创伤性的经历，突然改变了患者的生活，并伴随着重要的身体、情感和社交问题。这种情况的复杂性受到了COVID-19大流行的影响，这大大影响了慢性患者的优质护理的连续性。远程医疗可以通过提供一套有效和高效的工具来支持肿瘤学护理路线的管理，以监测癌症患者的治疗。特别是对于在家接受治疗的患者来说，这是一个适合的环境。在本文中，我们介绍了一个基于人工智能的系统Arianna，旨在支持和监测由乳腺癌单元网络（BCU-Net）的专业人员治疗的患者在整个乳腺癌治疗的临床路径中。我们在这篇文章中描述了Arianna系统的三个模块（患者和临床医生的工具和符号AI模块）。我们以定性的方式验证了该系统，并证明了Arianna解决方案如何通过使其适合于BCU-Net的日常实践来达到所有类型最终用户的高可接受性。版权所有 © 2023 Elsevier B.V. All rights reserved.

The onset of cancer disease is a traumatic experience for both patients and their families that suddenly change the patient's life and is accompanied by important physical, emotional, and psycho-social problems. The complexity of this scenario has been exacerbated by the COVID-19 pandemic which dramatically affected the continuity of the provision of optimal care to chronic patients. Telemedicine can support the management of oncology care paths by furnishing a suite of effective and efficient tools to monitor the therapies of cancer patients. In particular, this is a suitable setting for therapies that are administered at home. In this paper, we present an AI-based system, called Arianna, designed and implemented to support and monitor patients treated by the professionals belonging to the Breast Cancer Unit Network (BCU-Net) along the entire clinical path of breast cancer treatment. We describe in this work the three modules composing the Arianna system (the tools for patients and clinicians, and the symbolic AI-based module). The system has been validated in a qualitative way and we demonstrated how the Arianna solution reached a high level of acceptability by all types of end-users by making it suitable for a concrete integration into the daily practice of the BCU-Net.Copyright © 2023 Elsevier B.V. All rights reserved.