Abstract
Most members of the public, including patients, usually obtain health information from Web searches using generic search engines, which is often overwhelming, too generic, and of poor quality. Although patients may be better informed, they are often none the wiser and not empowered to communicate with medical professionals so that their care is compatible with their needs, values, and best interests. Intelligent Empowering Agents (IEA) use AI to filter medical information and assist the user in the understanding of health information about specific complaints or health in general. We have designed and developed a prototype of an IEA that dialogues with the user in simple language, collects health information from the Web, and provides tailored, easily understood, and trusted information. It empowers users to create their own comprehensive and objective opinion on health matters that concern them. This paper describes the IEA main characteristics and presents the results of subjective and objective tests carried out to assess the effectiveness of the IEA.
Original language | English |
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Title of host publication | Artificial Intelligence and Cognitive Science : 30th Irish Conference, AICS 2022 Munster, Ireland, December 8–9, 2022 Revised Selected Papers |
Editors | Luca Longo, Ruairi O’Reilly |
Number of pages | 14 |
Publisher | Springer Science+Business Media |
Publication date | 2023 |
Pages | 175-188 |
ISBN (Print) | 9783031264375 |
DOIs | |
Publication status | Published - 2023 |
Event | 30th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2022 - Munster, Ireland Duration: 8. Dec 2022 → 9. Dec 2022 |
Conference
Conference | 30th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2022 |
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Country/Territory | Ireland |
City | Munster |
Period | 08/12/2022 → 09/12/2022 |
Series | Communications in Computer and Information Science |
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Volume | 1662 CCIS |
ISSN | 1865-0929 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s).
Keywords
- Artificial Intelligence
- Big data
- Digital health
- Intelligent agents
- Machine learning
- Patient empowerment
- Tailored health communication