The use of artificial intelligence in the diagnosis of peripheral arterial disease: a systematic review

• Main Authors: Sri P Negoro, -, Yan Efrata Sembiring, Yan, Latifah A Zati, -, I G Putra, -, Jeffreey J Dillon, -
• Format: Article PeerReviewed
• Language: English; Indonesian; English; English
• Published: Edizioni Minerva Medica
• Subjects: R5-920 Medicine (General)
• Online Access: https://repository.unair.ac.id/133150/1/8%20artikel.pdf; https://repository.unair.ac.id/133150/2/karil%2008.pdf; https://repository.unair.ac.id/133150/3/8%20turnitin.pdf; https://repository.unair.ac.id/133150/4/08%20Korespondensi.pdf; https://repository.unair.ac.id/133150/; https://www.minervamedica.it/it/riviste/vascular-endovascular-surgery/articolo.php?cod=R46Y2023N04A0142; https://doi.org/10.23736/S1824-4777.23.01620-0
• Institution: Universitas Airlangga

INTRODUCTION: Peripheral artery disease (PAD) affects more than 200 million people worldwide. Despite this, doctors often fail to detect it due to inconsistencies in screening criteria, inadequate patients, and a high prevalence of quiet or unusual symptoms. It is believed that the use of artificial...