Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution.

Artificial intelligence Breast cancer Business process model Knowledge management Patients care paths Reasoning

Journal

Artificial intelligence in medicine
ISSN: 1873-2860
Titre abrégé: Artif Intell Med
Pays: Netherlands
ID NLM: 8915031

Informations de publication

Date de publication:
04 2023
Historique:
received: 17 06 2022
revised: 09 12 2022
accepted: 17 02 2023
medline: 31 3 2023
entrez: 29 3 2023
pubmed: 30 3 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36990591
pii: S0933-3657(23)00028-3
doi: 10.1016/j.artmed.2023.102514
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102514

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Mauro Dragoni (M)

Fondazione Bruno Kessler, Trento, Italy. Electronic address: dragoni@fbk.eu.

Claudio Eccher (C)

Fondazione Bruno Kessler, Trento, Italy. Electronic address: cleccher@fbk.eu.

Antonella Ferro (A)

Medical Oncology, Santa Chiara Hospital, Trento, Italy. Electronic address: antonella.ferro@apss.tn.it.

Tania Bailoni (T)

Fondazione Bruno Kessler, Trento, Italy. Electronic address: tbailoni@fbk.eu.

Rosa Maimone (R)

Fondazione Bruno Kessler, Trento, Italy. Electronic address: rmaimone@fbk.eu.

Andrea Zorzi (A)

Fondazione Bruno Kessler, Trento, Italy. Electronic address: azorzi@fbk.eu.

Alessandro Bacchiega (A)

Fondazione Bruno Kessler, Trento, Italy. Electronic address: bacchiega@fbk.eu.

Gabriele Stulzer (G)

Fondazione Bruno Kessler, Trento, Italy. Electronic address: gstulzer@fbk.eu.

Chiara Ghidini (C)

Fondazione Bruno Kessler, Trento, Italy. Electronic address: ghidini@fbk.eu.

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Classifications MeSH