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Electronics
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Autonomous Agents and Multi-Agent Systems Applied in Healthcare
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Autonomous Agents and Multi-Agent Systems Applied in Healthcare

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".

Deadline for manuscript submissions: closed (15 December 2021) | Viewed by 6037

Special Issue Editors

Dr. Sara Montagna

E-Mail Website
Guest Editor
Alma Mater Studiorum-University of Bologna, 40126 Bologna BO, Italy
Interests: multi-agent systems; artificial intelligence; medical informatics; Internet of Medical Things; AI in healthcare
Prof. Dr. Michael Ignaz Schumacher

E-Mail Website
Guest Editor
Institute of Business Information Systems, University of Applied Sciences Western Switzerland, 3960 Sierre, Switzerland
Interests: intelligent agents; multi-agent systems; artificial intelligence; eHealth; medical informatics
Special Issues, Collections and Topics in MDPI journals
Dr. Stefano Mariani

E-Mail Website
Guest Editor
Department of Sciences and Methods for Engineering, Università degli Studi di Modena e Reggio Emilia, 41121 Modena, Italy
Interests: coordination; socio-technical systems; Internet of Things; self-organization; multi-agent systems; computational argumentation; AI in healthcare
Special Issues, Collections and Topics in MDPI journals
Dr. Eloisa Vargiu

E-Mail Website
Guest Editor
Eurecat Centre Tecnòlogic, eHealth Unit, Barcelona, Spain
Interests: computer science; artificial intelligence; eHealth; integrated care; information retrieval and filtering
Special Issues, Collections and Topics in MDPI journals
Dr. Davide Calvaresi

E-Mail Website
Guest Editor
The Applied Intelligent Systems Lab (AISLab), University of Applied Sciences Western Switzerland, 3960 Sierre, Switzerland
Interests: real-time multi-agent systems; artificial intelligence; real-time systems; eHealth; embedded systems; blockchain
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

The innovation of healthcare services, infrastructures, and processes is impelling and worthy. The COVID-19 pandemic demonstrated how digital tools and artificial intelligence are necessary to improve the efficiency, efficacy, and quality of healthcare systems (i.e., by supporting tracking and data analysis). Intelligent agent-based systems are one of the most exciting research areas in artificial intelligence, which have proven to be a key component for the digitalization of healthcare. Specific topics like ageing, active living, chronic diseases, or others related to quality of life play an increasingly important role in this research field. This Special Issue calls for research discussing applications of intelligent agents in healthcare scenarios.

The topics of interest include but are not limited to:

  • Agent-based methods for medical image segmentation or classification;
  • Agent-based decision support systems for disease diagnosis;
  • Agent-based medical data processing, such as EMR management and exchange, healthcare data streams from Internet of Things, HIS interoperability and integration;
  • Mobile agents in hospital environments;
  • Patient empowerment and chronic disease self-management through personalized agent-based systems and models;
  • Intelligent agents that provide autonomous and remote care delivery;
  • Clinical agent-based decision support systems, including recommender systems;
  • Conversational agents and personal digital assistants for patient empowerment.

Dr. Sara Montagna
Prof. Dr. Michael Ignaz Schumacher
Dr. Stefano Mariani
Dr. Eloisa Vargiu
Dr. Davide Calvaresi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

30 pages, 7847 KiB  
Article
EREBOTS: Privacy-Compliant Agent-Based Platform for Multi-Scenario Personalized Health-Assistant Chatbots
by Davide Calvaresi, Jean-Paul Calbimonte, Enrico Siboni, Stefan Eggenschwiler, Gaetano Manzo, Roger Hilfiker and Michael Schumacher
Electronics 2021, 10(6), 666; https://doi.org/10.3390/electronics10060666 - 12 Mar 2021
Cited by 19 | Viewed by 4734
Abstract
Context. Asynchronous messaging is increasingly used to support human–machine interactions, generally implemented through chatbots. Such virtual entities assist the users in activities of different kinds (e.g., work, leisure, and health-related) and are becoming ingrained into humans’ habits due to factors including (i) the [...] Read more.
Context. Asynchronous messaging is increasingly used to support human–machine interactions, generally implemented through chatbots. Such virtual entities assist the users in activities of different kinds (e.g., work, leisure, and health-related) and are becoming ingrained into humans’ habits due to factors including (i) the availability of mobile devices such as smartphones and tablets, (ii) the increasingly engaging nature of chatbot interactions, (iii) the release of dedicated APIs from messaging platforms, and (iv) increasingly complex AI-based mechanisms to power the bots’ behaviors. Nevertheless, most of the modern chatbots rely on state machines (implementing conversational rules) and one-fits-all approaches, neglecting personalization, data-stream privacy management, multi-topic management/interconnection, and multimodal interactions. Objective. This work addresses the challenges above through an agent-based framework for chatbot development named EREBOTS. Methods. The foundations of the framework are based on the implementation of (i) multi-front-end connectors and interfaces (i.e., Telegram, dedicated App, and web interface), (ii) enabling the configuration of multi-scenario behaviors (i.e., preventive physical conditioning, smoking cessation, and support for breast-cancer survivors), (iii) online learning, (iv) personalized conversations and recommendations (i.e., mood boost, anti-craving persuasion, and balance-preserving physical exercises), and (v) responsive multi-device monitoring interface (i.e., doctor and admin). Results. EREBOTS has been tested in the context of physical balance preservation in social confinement times (due to the ongoing pandemic). Thirteen individuals characterized by diverse age, gender, and country distribution have actively participated in the experimentation, reporting advancements in the physical balance and overall satisfaction of the interaction and exercises’ variety they have been proposed. Full article
(This article belongs to the Special Issue Autonomous Agents and Multi-Agent Systems Applied in Healthcare)
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