Abstract
Recently, the role of AI in the development of eHealth is becoming increasingly ambitious since AI is allowing the development of whole new healthcare areas. In many cases, AI offers the possibility to support patient screening and monitoring through low-cost, non-invasive tests. One of the most relevant sectors in which a great contribution from AI is expected is that of neurodegenerative diseases, which represent one of the most important pathologies in Western countries with very serious follow up not only clinical, but also social and economic.
In this context, AI certainly represents an indispensable tool for effectively addressing aspects related to early diagnosis but also to monitoring patients suffering from various neurodegenerative diseases. To achieve these results, AI tools must be made available in test applications on mobile devices that are also easy to use by a large part of the population. In this sense, the aspects related to human-machine interaction are of paramount relevance for the diffusion of these solutions.
This article presents a mobile device application based on artificial intelligence tools for the early diagnosis and monitoring of patients suffering from neurodegenerative diseases and illustrates the results of specific usability tests that highlight the strengths but also the limitations in the iteration with application users. Some concluding remarks are highlighted to face the actual limitations of the proposed solution.
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Loiotile, A.D., Dentamaro, V., Giglio, P., Impedovo, D. (2021). AI-Based Clinical Decision Support Tool on Mobile Devices for Neurodegenerative Diseases. In: Ardito, C., et al. Human-Computer Interaction – INTERACT 2021. INTERACT 2021. Lecture Notes in Computer Science(), vol 12932. Springer, Cham. https://doi.org/10.1007/978-3-030-85623-6_10
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DOI: https://doi.org/10.1007/978-3-030-85623-6_10
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