Version 1
: Received: 11 January 2024 / Approved: 12 January 2024 / Online: 12 January 2024 (11:28:05 CET)
How to cite:
Martelli, E.; Capoccia, L.; Di Francesco, M.; Cavallo, E.; Pezzulla, M. G.; Giudice, G.; Bauleo, A.; Coppola, G.; Panagrosso, M. Current Applications and Future Perspectives of Artificial Intelligence in Vascular Surgery and Peripheral Artery Disease. Preprints2024, 2024011008. https://doi.org/10.20944/preprints202401.1008.v1
Martelli, E.; Capoccia, L.; Di Francesco, M.; Cavallo, E.; Pezzulla, M. G.; Giudice, G.; Bauleo, A.; Coppola, G.; Panagrosso, M. Current Applications and Future Perspectives of Artificial Intelligence in Vascular Surgery and Peripheral Artery Disease. Preprints 2024, 2024011008. https://doi.org/10.20944/preprints202401.1008.v1
Martelli, E.; Capoccia, L.; Di Francesco, M.; Cavallo, E.; Pezzulla, M. G.; Giudice, G.; Bauleo, A.; Coppola, G.; Panagrosso, M. Current Applications and Future Perspectives of Artificial Intelligence in Vascular Surgery and Peripheral Artery Disease. Preprints2024, 2024011008. https://doi.org/10.20944/preprints202401.1008.v1
APA Style
Martelli, E., Capoccia, L., Di Francesco, M., Cavallo, E., Pezzulla, M. G., Giudice, G., Bauleo, A., Coppola, G., & Panagrosso, M. (2024). Current Applications and Future Perspectives of Artificial Intelligence in Vascular Surgery and Peripheral Artery Disease. Preprints. https://doi.org/10.20944/preprints202401.1008.v1
Chicago/Turabian Style
Martelli, E., Giuseppe Coppola and Marco Panagrosso. 2024 "Current Applications and Future Perspectives of Artificial Intelligence in Vascular Surgery and Peripheral Artery Disease" Preprints. https://doi.org/10.20944/preprints202401.1008.v1
Abstract
Artificial Intelligence (AI) made its first appearance in 1956, and since then it has progressively introduced itself in healthcare system and patients’ information and care. AI functions can be grouped under the following headings: Machine Learning (ML), Deep Learning (DL), Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Computer Vision (CV). Chronic limb-threatening ischemia (CLTI) represents the last stage of peripheral artery disease (PAD), and has increased over recent years, together with the rise in prevalence of diabetes and population ageing. Nowadays AI grants the possibility of developing new diagnostic and treatment solutions in the vascular field, given the possibility of accessing clinical, biological, and imaging data. By assessing the vascular anatomy in every patient, as well as the burden of atherosclerosis, and classifying the level and degree of disease, sizing and planning the best endovascular treatment, defining the perioperative complications risk, integrating experiences and resources between different specialties, identifying latent PAD, thus offering evidence-based solutions and guiding surgeons in the choice of the best surgical technique, AI challenges the role of the physician’s experience in PAD treatment.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.