Boonstra, Machteld J;
Weissenbacher, Davy;
Moore, Jason H;
Gonzalez-Hernandez, Graciela;
Asselbergs, Folkert W;
(2024)
Artificial intelligence: revolutionizing cardiology with large language models.
European Heart Journal
, Article ehad838. 10.1093/eurheartj/ehad838.
(In press).
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Abstract
Natural language processing techniques are having an increasing impact on clinical care from patient, clinician, administrator, and research perspective. Among others are automated generation of clinical notes and discharge letters, medical term coding for billing, medical chatbots both for patients and clinicians, data enrichment in the identification of disease symptoms or diagnosis, cohort selection for clinical trial, and auditing purposes. In the review, an overview of the history in natural language processing techniques developed with brief technical background is presented. Subsequently, the review will discuss implementation strategies of natural language processing tools, thereby specifically focusing on large language models, and conclude with future opportunities in the application of such techniques in the field of cardiology.
| Type: | Article |
|---|---|
| Title: | Artificial intelligence: revolutionizing cardiology with large language models |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/eurheartj/ehad838 |
| Publisher version: | https://doi.org/10.1093/eurheartj/ehad838 |
| Language: | English |
| Additional information: | © The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Cardiology, Clinical applications, Large language models, Natural language processing |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10185690 |
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