Artificial intelligence of arterial Doppler waveforms to predict major adverse outcomes among patients with diabetes mellitus

RD McBane II, DH Murphree, D Liedl… - Journal of vascular …, 2024 - Elsevier
Objective Patients with diabetes mellitus (DM) are at increased risk for peripheral artery
disease (PAD) and its complications. Arterial calcification and non-compressibility may limit …

Artificial intelligence of arterial Doppler waveforms to predict major adverse outcomes among patients evaluated for peripheral artery disease

RD McBane, DH Murphree, D Liedl… - Journal of the …, 2024 - Am Heart Assoc
Background Patients with peripheral artery disease are at increased risk for major adverse
cardiac events, major adverse limb events, and all‐cause death. Developing tools capable …

Artificial intelligence for the evaluation of peripheral artery disease using arterial Doppler waveforms to predict abnormal ankle-brachial index

RD McBane, DH Murphree, D Liedl… - Vascular …, 2022 - journals.sagepub.com
Background: Patients with peripheral artery disease (PAD) are at increased risk for major
adverse limb and cardiac events including mortality. Developing screening tools capable of …

Development and validation of a nomogram to predict the risk of peripheral artery disease in patients with type 2 diabetes mellitus

J Liang, J Song, T Sun, L Zhang, S Xu - Frontiers in Endocrinology, 2022 - frontiersin.org
Objective To develop and validate a nomogram for predicting the risk of peripheral artery
disease (PAD) in patients with type 2 diabetes mellitus (T2DM) and assess its clinical …

PC102. A novel machine learning-driven clinical and proteomic tool for the diagnosis of peripheral artery disease

JL Ramirez, CA Magaret, SA Khetani… - Journal of Vascular …, 2019 - jvascsurg.org
Objective Peripheral artery disease (PAD) is commonly underdiagnosed and undertreated,
which has been reported to have a high impact on population health. Current noninvasive …

Performance of a clinical/proteomic panel to predict obstructive peripheral artery disease in patients with and without diabetes mellitus

CP McCarthy, S Shrestha, N Ibrahim… - Open …, 2019 - openheart.bmj.com
Background Patients with diabetes mellitus (DM) are at substantial risk of developing
peripheral artery disease (PAD). We recently developed a clinical/proteomic panel to predict …

Development and validation of a risk score model for prediction of lower extremity arterial disease in Chinese with type 2 diabetes aged over 50 years

X Zhang, Z Xu, X Ran, L Ji - Endocrine Connections, 2021 - ec.bioscientifica.com
Background Lower extremity arterial disease (LEAD) is highly prevalent in people with
diabetes in China, but half of cases are underdiagnosed due to diversities of clinical …

Machine learning-based classification of arterial spectral waveforms for the diagnosis of peripheral artery disease in the context of diabetes: A proof-of-concept study

P Normahani, V Sounderajah, D Mandic… - Vascular …, 2022 - journals.sagepub.com
Background: Point-of-care duplex ultrasound has emerged as a promising test for the
diagnosis of peripheral artery disease (PAD). However, the interpretation of morphologically …

Development and evaluation of a prediction model for peripheral artery disease-related major adverse limb events using novel biomarker data

B Li, R Nassereldine, A Zamzam, MH Syed… - Journal of Vascular …, 2024 - Elsevier
Objective Prognostic tools for individuals with peripheral artery disease (PAD) remain
limited. We developed prediction models for 3-year PAD-related major adverse limb events …

[HTML][HTML] A cross-sectional study in type 2 diabetes patients reveals that elevated pulse wave velocity predicts asymptomatic peripheral arterial disease associated with …

D Gašparini, A Zuljani, FM Wensveen… - IJC Heart & …, 2023 - Elsevier
Background Peripheral arterial disease (PAD) reduces functional capacity and raises
cardiovascular risks, but underdiagnosis is common, resulting in less comprehensive care …