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Evolution and trends of artificial intelligence related to medical devices: a bibliometric analysis

datacite.subject.fosCiências Sociais::Economia e Gestãopt_PT
dc.contributor.advisorCardoso, Elizabete
dc.contributor.authorFerreira, Vasco Calixto Coelho
dc.date.accessioned2025-03-28T13:46:30Z
dc.date.embargo2029-04-29
dc.date.issued2024-06-25
dc.date.submitted2024-04-29
dc.description.abstractThis bibliometric analysis critically examines the integration of artificial intelligence (AI) in medical devices, focusing on its developmental structure, prevalent research themes, and evolutionary trends. The study categorizes the research into three distinct areas: the underlying knowledge framework of AI applications in medical devices, the thematic focus of current investigations, and the chronological progression of these themes. Findings indicate a significant expansion in AI utilization, which enhances diagnostic precision and personalizes treatment modalities. The study underscores the necessity for continuous technological advancement and stringent ethical standards, proposing a roadmap for future research and practical implementation in the MedTech industry.pt_PT
dc.identifier.tid203867300pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/181586
dc.language.isoengpt_PT
dc.relationUID/ECO/00124/2013pt_PT
dc.subjectAipt_PT
dc.subjectMedicalpt_PT
dc.subjectDevicespt_PT
dc.subjectBibliometric analysispt_PT
dc.subjectCEMS MIMpt_PT
dc.titleEvolution and trends of artificial intelligence related to medical devices: a bibliometric analysispt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsembargoedAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameA Work Project presented as part of the requirements for the Award of a Master’s Degree in Business Analytics from the Nova School of Business and Economicspt_PT

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