TY - JOUR
T1 - Artificial intelligence
T2 - Revolutionizing cardiology with large language models
AU - Boonstra, Machteld J.
AU - Weissenbacher, Davy
AU - Moore, Jason H.
AU - Gonzalez-Hernandez, Graciela
AU - Asselbergs, Folkert W.
N1 - Publisher Copyright: © 2024 The Author(s). Published by Oxford University Press on behalf of the European Society of Cardiology.
PY - 2024/2/1
Y1 - 2024/2/1
N2 - 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.
AB - 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.
KW - Cardiology
KW - Clinical applications
KW - Large language models
KW - Natural language processing
UR - http://www.scopus.com/inward/record.url?scp=85184151775&partnerID=8YFLogxK
U2 - 10.1093/eurheartj/ehad838
DO - 10.1093/eurheartj/ehad838
M3 - Review article
C2 - 38170821
SN - 0195-668X
VL - 45
SP - 332
EP - 345
JO - European Heart journal
JF - European Heart journal
IS - 5
ER -