Artificial intelligence in vascular surgical decision making
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...
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| Veröffentlicht in: | Seminars in vascular surgery 2023-09, Vol.36 (3), p.448-453 |
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| container_title | Seminars in vascular surgery |
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| creator | Lareyre, Fabien Yeung, Kak Khee Guzzi, Lisa Di Lorenzo, Gilles Chaudhuri, Arindam Behrendt, Christian-Alexander Spanos, Konstantinos Raffort, Juliette |
| description | 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. |
| doi_str_mv | 10.1053/j.semvascsurg.2023.05.004 |
| format | Article |
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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. 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| ispartof | Seminars in vascular surgery, 2023-09, Vol.36 (3), p.448-453 |
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| subjects | Artificial Intelligence Cardiology and cardiovascular system Computer Science Decision making Human health and pathology Life Sciences Machine learning Precision medicine Surgery Vascular disease |
| title | Artificial intelligence in vascular surgical decision making |
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