Latest AI and machine learning research in primary care for healthcare professionals.
Diabetes mellitus (DM) is a highly prevalent chronic condition with significant health and economic ...
The convergence of artificial intelligence (AI) and biomedical data is transforming precision medici...
Lung cancer is one of the leading causes of cancer-related mortality worldwide, with most cases diag...
Lung cancer is the leading cause of cancer-related mortality worldwide. Early lung cancer detection ...
Low-cost, high-throughput DNA and RNA sequencing (HTS) data is the main workforce for the life sci...
Detecting breast cancer early is of the utmost importance to effectively treat the millions of wom...
Distributed and federated learning are important tools for high-dimensional classification of larg...
It is necessary to predict hair mercury (Hg) levels and specify the related effective factors to dev...
Cancer screening, leading to early detection, saves lives. Unfortunately, existing screening techn...
Cardiovascular disease (CVD) risk prediction models are essential for identifying high-risk indivi...
Atherosclerosis (AS) is a complex cardiovascular disease associated with mitochondrial dysfunction (...
Cardiovascular disease (CVD) is one of the severe disorders that requires effectual solutions. CVD m...
Multimodal Large Language Models (MLLMs) are of great application across many domains, such as mul...
Reconstruction kernels in computed tomography (CT) affect spatial resolution and noise characteris...
Accurate diabetes risk prediction relies on identifying key features from complex health datasets,...
Parameter estimation for Archimedean copulas remains a challenging problem, particularly for the r...
We present Surf2CT, a novel cascaded flow matching framework that synthesizes full 3D computed tom...
We present Surf2CT, a novel cascaded flow matching framework that synthesizes full 3D computed tom...
The global prevalence of diabetes, particularly type 2 diabetes mellitus (T2DM), is rapidly increa...
Predicting the risk of developing breast cancer is an important clinical tool to guide early inter...
Background and objective: Micro-ultrasound (micro-US) is a novel imaging modality with diagnostic ...