Publication:
Artificial intelligence in healthcare: a technological perspective

Simple item page
dc.contributor.authorGallego, Marcos
dc.contributor.authorBerman, Adam
dc.contributor.authorCrispin, Mireia
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2024-07-02T16:10:08Z
dc.date.available2024-07-02T16:10:08Z
dc.date.issued2020-12-18
dc.description.abstractArtificial intelligence (AI) is one of the key technological innovations shaping our modern world. The growing availability of digital health data, combined with the newest technical advancements in computing and data science, form the perfect environment for data-driven, AI-powered medicine to flourish. Many of the challenges presented by AI arise from its very foundation, from biases to transparency or generalizability. This chapter therefore focuses on presenting the basic ideas behind AI algorithms. In particular, it focuses on the different types of learning (supervised vs. unsupervised, shallow vs. deep), and discusses some of the most popular ways in which AI methods have been applied in healthcare. We then discuss the main technological pitfalls, and summarize them into four key questions on transparency, overfitting, performance and robustness that AI models with translational ambitions should be able to address adequately. Finally, AI has the potential to go beyond simple applications, and become one of the key tools to connect medical research and clinical practice. We suggest that, if the field progresses steadily despite all the complexities, it could become the backbone of a knowledge-generating feedback loop between the two.
dc.formatapplication/pdf
dc.identifier.citationGallego Llorente, M., Berman, A., & Crispin, M. (2020). Artificial intelligence in healthcare: a technological perspective. En Innovation, Sustainability and the Future of Healthcare (p. Chapter 1). IE Center for the Governance of Change (CGC). https://doi.org/10.5281/zenodo.4356884
dc.identifier.doihttps://doi.org/10.5281/zenodo.4356884
dc.identifier.urihttps://hdl.handle.net/20.500.14417/2787
dc.language.isoeng
dc.licensehttps://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
dc.publisherIE University
dc.relation.centerIE Center of the Governance of Change
dc.relation.entityIE University
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subject.keywordArtificial intelligence
dc.subject.keywordDigital health
dc.subject.keywordData
dc.subject.keywordAI algorithms
dc.subject.otherArtificial intelligence;Digital health;Data;AI algorithms
dc.titleArtificial intelligence in healthcare: a technological perspective
dc.typeinfo:eu-repo/semantics/report
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
4356884.pdf
Size:
774.12 KB
Format:
Adobe Portable Document Format
Download
Collections
Technical Reports