Latest AI and machine learning research in peripheral artery disease for healthcare professionals.
Accurate segmentation of the coronary vessel lumen is a prerequisite for quantitative assessment of atherosclerotic plaque and perivascular adipose tissue in coronary computed tomography angiography (CCTA). Cardiologists rely on semi-automated methods for this task because manual vessel tracing and segmentation are labour-intensive. Although many automated methods have been proposed, their validat...
Background Peripheral artery disease (PAD) is a major cause of cardiovascular events but remains underdiagnosed. Electronic health record (EHR)-based machine learning models show promise for earlier detection, but developing generalizable and fair models across diverse populations remains challenging. Methods Using the University of California Health Data Warehouse, containing EHR data from five h...
Skin diseases represent a major global public health burden, yet machine learning tools developed to assist in their diagnosis suffer from two critica...
Live game commentary is scarce: it exists for professional esports broadcasts and almost nowhere else. We present a content-based video narration syst...
BACKGROUND: Coronary angiography remains the reference standard for diagnosing coronary artery disease and guiding revascularization, yet its interpre...
Background Existing insulin resistance (IR) indices are predominantly developed in diabetic cohorts, limiting their generalizability. We developed a n...
This work focuses on the impact and detection of clear contact lenses in the context of iris recognition. While the detection of cosmetic or patterned...
Pose-agnostic Anomaly Detection (PAD) remains challenging as anomalies can appear under arbitrary viewpoints, requiring methods to handle significant ...
Class imbalance is a prevalent issue in medical image classification that significantly degrades a model's capacity to recognize minority-class lesion...
Medical vision-language models (VLMs) can retain high observed marginal coverage after clinical shift while substantially under-covering an individual...
Fingerprint Presentation Attack Detection (PAD) is a critical component of fingerprint identification systems, serving as a protective measure against...
Background: Excess epicardial adipose tissue (EAT) is associated with cardiovascular-kidney-metabolic (CKM) dysfunction, but its assessment has tradit...
This paper presents a comprehensive analysis of the results from the Third International Competition on Document Forgery Detection on ID-Cards and Pas...
_ SURPASS-HF: Safety and Utility of Remote Pulmonary Artery Sensor Shared-management in Heart Failure --Background-- Insulin-dependent diabetics self-...
Background Carotid plaque calcification is commonly interpreted as a marker of atherosclerotic burden, but its prognostic meaning may depend on calcif...
Blood-based biomarkers discovered by machine learning often lack disease specificity and cross-population robustness for clinical applications. We des...
Background: Hypertension is a modifiable risk factor for dementia, yet the comparative effectiveness of angiotensin receptor blockers (ARBs) versus an...
Abstract Background: Lacunes are 3-15 mm cavities originating from small perforating artery disease and are a hallmark of cerebral small vessel diseas...
Background: Coronary artery calcium (CAC) is an established measure of coronary atherosclerosis from computed tomography (CT). While deep learning (DL...
Background: Poor glycemic control is associated with cardiovascular disease (CVD) risk. However, it is unknown whether glycemic control is related to ...