The challenges for the next generation digital health: The disruptive character of artificial intelligence and machine learning
dc.contributor.author | Lytras, Miltiadis | |
dc.contributor.author | Housawi, Abdulrahman | |
dc.contributor.author | Alsaywid, Basim | |
dc.contributor.author | Aljohani, Naif | |
dc.date.accessioned | 2024-05-26T05:47:49Z | |
dc.date.available | 2024-05-26T05:47:49Z | |
dc.date.issued | 2024-08-01 | |
dc.identifier.citation | Lytras, 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.isbn | 9780443136191 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.14131/1686 | |
dc.description.abstract | Artificial 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.publisher | Academic Press (Elsevier Imprint) | en_US |
dc.subject | Healthcare | en_US |
dc.subject | Delivery of Healthcare | en_US |
dc.subject | Digital Health | en_US |
dc.subject | Human-centered computing | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | eHealth | en_US |
dc.title | The challenges for the next generation digital health: The disruptive character of artificial intelligence and machine learning | en_US |
dc.source.booktitle | Next generation eHealth: Applied data science, machine learning and extreme computational intelligence | en_US |
dc.source.volume | Next Generation Technology Driven Personalized Medicine And Smart Healthcare; | |
dc.source.pages | 1-10 | en_US |
dc.contributor.researcher | External Collaboration | en_US |
dc.contributor.lab | NA | en_US |
dc.subject.KSA | HEALTH | en_US |
dc.contributor.ugstudent | 0 | en_US |
dc.contributor.alumnae | 0 | en_US |
dc.source.index | Scopus | en_US |
dc.contributor.department | Computer Science | en_US |
dc.contributor.pgstudent | 0 | en_US |
dc.contributor.firstauthor | Lytras, Miltiadis |