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Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution.
Dragoni, Mauro; Eccher, Claudio; Ferro, Antonella; Bailoni, Tania; Maimone, Rosa; Zorzi, Andrea; Bacchiega, Alessandro; Stulzer, Gabriele; Ghidini, Chiara.
  • Dragoni M; Fondazione Bruno Kessler, Trento, Italy. Electronic address: dragoni@fbk.eu.
  • Eccher C; Fondazione Bruno Kessler, Trento, Italy. Electronic address: cleccher@fbk.eu.
  • Ferro A; Medical Oncology, Santa Chiara Hospital, Trento, Italy. Electronic address: antonella.ferro@apss.tn.it.
  • Bailoni T; Fondazione Bruno Kessler, Trento, Italy. Electronic address: tbailoni@fbk.eu.
  • Maimone R; Fondazione Bruno Kessler, Trento, Italy. Electronic address: rmaimone@fbk.eu.
  • Zorzi A; Fondazione Bruno Kessler, Trento, Italy. Electronic address: azorzi@fbk.eu.
  • Bacchiega A; Fondazione Bruno Kessler, Trento, Italy. Electronic address: bacchiega@fbk.eu.
  • Stulzer G; Fondazione Bruno Kessler, Trento, Italy. Electronic address: gstulzer@fbk.eu.
  • Ghidini C; Fondazione Bruno Kessler, Trento, Italy. Electronic address: ghidini@fbk.eu.
Artif Intell Med ; 138: 102514, 2023 04.
Article in English | MEDLINE | ID: covidwho-2257595
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Breast Neoplasms / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research Limits: Female / Humans Language: English Journal: Artif Intell Med Journal subject: Medical Informatics Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Breast Neoplasms / COVID-19 Type of study: Observational study / Prognostic study / Qualitative research Limits: Female / Humans Language: English Journal: Artif Intell Med Journal subject: Medical Informatics Year: 2023 Document Type: Article