The use of Artificial Intelligence in clinical diagnostics: Challenges to consider for implementation

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dc.contributor.authorCronin, Padraig
dc.date.accessioned2024-09-12T10:32:41Z
dc.date.available2024-09-12T10:32:41Z
dc.date.issued04/09/2024
dc.description.abstractWhilst many technological advancements have revolutionised healthcare throughout the 21st century, one of the most significant is Artificial Intelligence (AI). AI is generally regarded as the capability to imitate intelligent human behaviour using machines, and is based on computer science, statistics, algorithms, machine learning, information retrieval, and data science1. AI has permeated into many domains of healthcare including Clinical Diagnostics. While AI chatbots (such as those used in Babylon and Ada) are being used by patients to identify symptoms and recommend further actions in community and primary care settings, more recent advances in the technology with larger datasets have provided users access to a more extensive array of clinical conditions2. However, as these tools are constantly being developed with an ever-increasing dataset of clinical cases, certain challenges threaten the implementation of an accurate and effective model. In this article, the issue of Data Bias, and Data Handling will be examined within the context of Clinical Diagnostics, and how these factors threaten the development of such AI Healthcare tools.en
dc.description.statusPeer-revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationCronin, P. (2024) 'The use of Artificial Intelligence in clinical diagnostics: Challenges to consider for implementation', UCC Student Medical Journal, 4, pp. 105-107. https://doi.org/10.33178/SMJ.2024.1.12en
dc.identifier.doihttps://doi.org/10.33178/SMJ.2024.1.12
dc.identifier.endpage107
dc.identifier.issn2737-7237
dc.identifier.journalabbrevUCC SMJ
dc.identifier.journaltitleUCC Student Medical Journalen
dc.identifier.startpage105
dc.identifier.urihttps://journals.ucc.ie/index.php/smj/article/view/4136
dc.identifier.urihttps://hdl.handle.net/10468/16358
dc.language.isoenen
dc.publisherUCC Medical Research and Technology Societyen
dc.rights© 2024, the Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0
dc.subjectMedical diagnosticsen
dc.subjectClinical diagnosticsen
dc.subjectPersonalized Medicineen
dc.subjectArtificial Intelligenceen
dc.titleThe use of Artificial Intelligence in clinical diagnostics: Challenges to consider for implementationen
dc.typeArticle (peer-reviewed)en
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