Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/113643
DC FieldValueLanguage
dc.contributor.authorAmjad, Ayesha-
dc.contributor.authorKordel, Piotr-
dc.contributor.authorFernandes, Gabriela-
dc.date.accessioned2024-02-23T12:48:34Z-
dc.date.available2024-02-23T12:48:34Z-
dc.date.issued2023-
dc.identifier.issn2071-1050pt
dc.identifier.urihttps://hdl.handle.net/10316/113643-
dc.description.abstractArtificial intelligence (AI) has entered the mainstream as computing power has improved. The healthcare industry is undergoing dramatic transformations at present. One of the most recent industries to heavily use AI is telehealth, which is used for anything from issuing electronic healthcare cards to providing individual counselling. Artificial intelligence (AI) is influencing telehealth in the United States in a major way. Using AI in telehealth to allow clinicians to make real-time, datadriven rich choices is critical to offering a better patient experience and improved health outcomes as practitioners strive toward expanding virtual care options along the care continuum. Research in the medical industry has started to use AI’s strengths in data processing and analysis in telehealth, reflecting the widespread adoption of AI in other sectors. Because of the difficulties inherent in telemedicine’s deployment, there is an urgent need to broaden its capabilities and enhance its processes so that they may be tailored to address particular issues. This article is aimed to study different areas of telemedicine and analyze the effect of AI in the field of health and medicine. The literature surveyed in this study demonstrates the infinite growth potential afforded by the combination of AI and telemedicine. There are four main directions that the expanding use of this technology is heading: patient monitoring, healthcare IT, intelligent aid in diagnosis, and information analysis with other specialists.pt
dc.language.isoengpt
dc.publisherMDPIpt
dc.relationUIDB/00285/2020pt
dc.relationUIDB/00285/2020pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjecttelehealthpt
dc.subjecthealthcare sectorpt
dc.subjectartificial intelligencept
dc.subjectinnovationspt
dc.titleA Review on Innovation in Healthcare Sector (Telehealth) through Artificial Intelligencept
dc.typearticle-
degois.publication.firstPage6655pt
degois.publication.issue8pt
degois.publication.titleSustainability (Switzerland)pt
dc.peerreviewedyespt
dc.identifier.doi10.3390/su15086655pt
degois.publication.volume15pt
dc.date.embargo2023-01-01*
uc.date.periodoEmbargo0pt
item.grantfulltextopen-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextCom Texto completo-
crisitem.author.researchunitCEMMPRE - Centre for Mechanical Engineering, Materials and Processes-
crisitem.author.orcid0000-0002-2715-9826-
Appears in Collections:FCTUC Eng.Mecânica - Artigos em Revistas Internacionais
I&D CEMMPRE - Artigos em Revistas Internacionais
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