Show simple item record

dc.contributor.authorLytras, Miltiadis
dc.contributor.authorHousawi, Abdulrahman
dc.contributor.authorAlsaywid, Basim
dc.contributor.authorAljohani, Naif
dc.date.accessioned2024-05-26T05:47:49Z
dc.date.available2024-05-26T05:47:49Z
dc.date.issued2024-08-01
dc.identifier.citationLytras, M., Housawi, A., Alsaywid, B., & Aljohani, N. R. (2024). The challenges for the next generation digital health: The disruptive character of artificial intelligence and machine learning. In M. Lytras, A. Housawi, B. Alsaywid, & N. R. Aljohani (Eds.), Next generation eHealth: Applied data science, machine learning and extreme computational intelligence (pp. xx-xx). Elsevier. ISBN 9780443136191.en_US
dc.identifier.isbn9780443136191en_US
dc.identifier.urihttp://hdl.handle.net/20.500.14131/1686
dc.description.abstractArtificial Intelligence is not a technology. Artificial Intelligence is a robust strategy for the digital transformation of anything. This bold characteristic of AI is the focus of this introductory chapter. We elaborate on the unique value proposition of AI and its contribution to the formulation of the emerging, next-generation value-based ecosystem for Digital Health. Then main discussion of the chapter is dedicated on disruptive scenarios and use case for AI-Enabled next-generation Generation Digital Health Services and Solutions. We aim by this short coverage and discussion to highlight bold directions for the utilization of AI in the eHealth context. We are also commenting on various technological, business, strategic and ethical aspects of AI. Last but not least, we convey the main message of the chapter: A robust, resilient strategy for the training and upskilling of stakeholders in healthcare in the foundations, models and strategy of AI is required. We are somehow carriers of a bold change in our societies and in our healthcare ecosystem. It is up to us, as humans with intuition and decision-making capability, to envision the way that the disruptive technology of AI will add value to healthcare, patients' health status and people' wellbeing in the next few years.en_US
dc.publisherAcademic Press (Elsevier Imprint)en_US
dc.subjectHealthcareen_US
dc.subjectDelivery of Healthcareen_US
dc.subjectDigital Healthen_US
dc.subjectHuman-centered computingen_US
dc.subjectArtificial Intelligenceen_US
dc.subjecteHealthen_US
dc.titleThe challenges for the next generation digital health: The disruptive character of artificial intelligence and machine learningen_US
dc.source.booktitleNext generation eHealth: Applied data science, machine learning and extreme computational intelligenceen_US
dc.source.volumeNext Generation Technology Driven Personalized Medicine And Smart Healthcare;
dc.source.pages1-10en_US
dc.contributor.researcherExternal Collaborationen_US
dc.contributor.labNAen_US
dc.subject.KSAHEALTHen_US
dc.contributor.ugstudent0en_US
dc.contributor.alumnae0en_US
dc.source.indexScopusen_US
dc.contributor.departmentComputer Scienceen_US
dc.contributor.pgstudent0en_US
dc.contributor.firstauthorLytras, Miltiadis


This item appears in the following Collection(s)

Show simple item record