Leveraging machine learning and artificial intelligence to improve peripheral artery disease detection, treatment, and outcomes

AM Flores, F Demsas, NJ Leeper, EG Ross - Circulation research, 2021 - Am Heart Assoc
Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor
patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss …

Machine learning in vascular surgery: a systematic review and critical appraisal

B Li, T Feridooni, C Cuen-Ojeda, T Kishibe… - NPJ Digital …, 2022 - nature.com
Abstract Machine learning (ML) is a rapidly advancing field with increasing utility in health
care. We conducted a systematic review and critical appraisal of ML applications in vascular …

Value creation through artificial intelligence and cardiovascular imaging: a scientific statement from the American Heart Association

K Hanneman, D Playford, D Dey, M van Assen… - Circulation, 2024 - Am Heart Assoc
Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular
imaging are being proposed and developed. However, the processes involved in …

Artificial intelligence and machine learning in aortic disease

LD Hahn, K Baeumler, A Hsiao - Current Opinion in Cardiology, 2021 - journals.lww.com
Multiple ML techniques have potential for characterization and risk prediction of aortic
aneurysm, dissection, coarctation, and atherosclerotic disease on computed tomography …

[HTML][HTML] Artificial Intelligence Outperforms Kaplan–Meier Analyses Estimating Survival after Elective Treatment of Abdominal Aortic Aneurysms

J Kiessling, A Brunnberg, G Holte, N Eldrup… - European Journal of …, 2023 - Elsevier
Objective Long term differences in survival after elective repair of abdominal aortic
aneurysms (AAAs) between open surgical repair (OSR) and endovascular aneurysm repair …

[HTML][HTML] Current applications and future perspectives of artificial and biomimetic intelligence in vascular surgery and peripheral artery disease

E Martelli, L Capoccia, M Di Francesco, E Cavallo… - Biomimetics, 2024 - mdpi.com
Artificial Intelligence (AI) made its first appearance in 1956, and since then it has
progressively introduced itself in healthcare systems and patients' information and care. AI …

Artificial intelligence applications in aortic dissection imaging

D Mastrodicasa, M Codari, K Bäumler… - Seminars in …, 2022 - Elsevier
In 2020, the US Food and Drug Administration (FDA) reviewed and authorized over 60
artificial intelligence (AI)-enabled devices across a variety of medical fields, including …

Applications of artificial intelligence in acute abdominal imaging

J Yao, LC Chu, M Patlas - Canadian Association of …, 2024 - journals.sagepub.com
Artificial intelligence (AI) is a rapidly growing field with significant implications for radiology.
Acute abdominal pain is a common clinical presentation that can range from benign …

Artificial intelligence in clinical workflow processes in vascular surgery and beyond

SS Dossabhoy, VT Ho, EG Ross, F Rodriguez… - Seminars in vascular …, 2023 - Elsevier
In the past decade, artificial intelligence (AI)-based applications have exploded in
healthcare. In cardiovascular disease and vascular surgery specifically, AI tools such as …

[HTML][HTML] Perceptions of Canadian vascular surgeons toward artificial intelligence and machine learning

B Li, C de Mestral, M Mamdani, M Al-Omran - Journal of Vascular Surgery …, 2022 - Elsevier
Background Artificial intelligence (AI) and machine learning (ML) are rapidly advancing
fields with increasing utility in health care. We conducted a survey to determine the …