TY - JOUR
T1 - Artificial intelligence in vascular surgical decision making
AU - Lareyre, Fabien
AU - Yeung, Kak Khee
AU - Guzzi, Lisa
AU - di Lorenzo, Gilles
AU - Chaudhuri, Arindam
AU - Behrendt, Christian-Alexander
AU - Spanos, Konstantinos
AU - Raffort, Juliette
N1 - Funding Information: This work was supported by the French government through the National Research Agency (reference ANR-22-CE45-0023-01) and through the 3IA Côte d'Azur Investments in the Future project (reference ANR-19-P3IA-002). Christian-Alexander Behrendt received national funds from the German Federal Joint Committee (grants 01VSF18035 and 01VSF16008). Publisher Copyright: © 2023 Elsevier Inc.
PY - 2023/9
Y1 - 2023/9
N2 - Despite advances in prevention, detection, and treatment, cardiovascular disease is a leading cause of mortality and represents a major health problem worldwide. Artificial intelligence and machine learning have brought new insights to the management of vascular diseases by allowing analysis of huge and complex datasets and by offering new techniques to develop advanced imaging analysis. Artificial intelligence–based applications have the potential to improve prognostic evaluation and evidence-based decision making and contribute to vascular therapeutic decision making. In this scoping review, we provide an overview on how artificial intelligence could help in vascular surgical clinical decision making, highlighting potential benefits, current limitations, and future challenges.
AB - Despite advances in prevention, detection, and treatment, cardiovascular disease is a leading cause of mortality and represents a major health problem worldwide. Artificial intelligence and machine learning have brought new insights to the management of vascular diseases by allowing analysis of huge and complex datasets and by offering new techniques to develop advanced imaging analysis. Artificial intelligence–based applications have the potential to improve prognostic evaluation and evidence-based decision making and contribute to vascular therapeutic decision making. In this scoping review, we provide an overview on how artificial intelligence could help in vascular surgical clinical decision making, highlighting potential benefits, current limitations, and future challenges.
KW - Artificial intelligence
KW - Decision making
KW - Machine learning
KW - Precision medicine
KW - Vascular disease
UR - http://www.scopus.com/inward/record.url?scp=85162216132&partnerID=8YFLogxK
U2 - https://doi.org/10.1053/j.semvascsurg.2023.05.004
DO - https://doi.org/10.1053/j.semvascsurg.2023.05.004
M3 - Review article
C2 - 37863619
SN - 0895-7967
VL - 36
SP - 448
EP - 453
JO - Seminars in Vascular Surgery
JF - Seminars in Vascular Surgery
IS - 3
ER -