Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.
Journal:
Circulation research
PMID:
34110911
Abstract
Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss and excess rates of cardiovascular morbidity and death. Machine learning algorithms and artificially intelligent systems have shown great promise in application to many areas in health care, such as accurately detecting disease, predicting patient outcomes, and automating image interpretation. Although the application of these technologies to peripheral artery disease are in their infancy, their promises are tremendous. In this review, we provide an introduction to important concepts in the fields of machine learning and artificial intelligence, detail the current state of how these technologies have been applied to peripheral artery disease, and discuss potential areas for future care enhancement with advanced analytics.
Authors
Keywords
Algorithms
Aortic Aneurysm
Artificial Intelligence
Atherosclerosis
Behavior Therapy
Carotid Artery Diseases
Forecasting
Humans
Image Interpretation, Computer-Assisted
Life Style
Machine Learning
Natural Language Processing
Peripheral Arterial Disease
Phenotype
Prognosis
Risk Assessment
Supervised Machine Learning
Treatment Outcome