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dc.contributor.authorCanal-Alonso, Ángel
dc.contributor.authorEgido, Noelia
dc.contributor.authorJiménez, Pedro
dc.contributor.authorPrieto Tejedor, Javier 
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2023-10-02T10:52:44Z
dc.date.available2023-10-02T10:52:44Z
dc.date.issued2022
dc.identifier.urihttp://hdl.handle.net/10366/153107
dc.description.abstract[EN]In the context of clinical trials, the implementation and adaptation of emerging technologies is essential to accelerate and improve medical research. This article explores the impact and applications of generative artificial intelligence (AI) at various stages of clinical trials. Its potential benefits are highlighted, such as optimizing patient selection, innovation in protocol design, accurate prediction of outcomes, and deeper analysis of complex data. Furthermore, the importance of combining these advanced tools with human knowledge and experience is highlighted, and the associated ethical and privacy considerations are mentioned. With generative AI.es_ES
dc.language.isoenges_ES
dc.subjectGenerative Artificial Intelligencees_ES
dc.subjectDrug Designes_ES
dc.subjectClinical trialses_ES
dc.subject.meshDrug Design *
dc.subject.meshClinical Trial *
dc.titleGenerative AI in Clinical Trials: Revolutionizing Design, Analysis and Prediction in Medical Researches_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.subject.unesco1203.04 Inteligencia Artificiales_ES
dc.subject.unesco2390.01 Diseño. Síntesis y Estudio Nuevos Fármacoses_ES
dc.relation.projectIDCCTT3/20/SA/0003es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.hasVersioninfo:eu-repo/semantics/draftes_ES
dc.subject.decsensayo clínico *
dc.subject.decsdiseño de fármacos *


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