Latest AI and machine learning research in health policy for healthcare professionals.
Large Language Models (LLMs) have demonstrated significant promise for various applications in hea...
Cardiovascular diseases are a leading cause of fatalities worldwide, often occurring suddenly with...
Magnetic resonance imaging (MRI) offers superb-quality images, but its accessibility is limited by...
In the context of the new mandatory labor compliance in the European Union (EU), which will be imp...
This study presents a novel approach to enhance the cost-to-quality ratio of image generation with...
Lensless imaging stands out as a promising alternative to conventional lens-based systems, particu...
The rapid digitalization of communication systems has elevated Interactive Voice Response (IVR) te...
Unsupervised anomaly detection (UAD) seeks to localize the anomaly mask of an input image with res...
The recent proliferation of photorealistic images created by generative models has sparked both ex...
The global increase in the number of older people aged 65 and over is causing concern in healthcare ...
OBJECTIVES: Although efforts to effectively govern AI continue to develop, relatively little work ha...
Access to sexual health education, such as education on sexual consent, is limited in the US. Artifi...
OBJECTIVE: This study evaluates the integration of electronic health records (EHRs) and natural lang...
This review examines diagnostic methods for prostate cancer, focusing on the role of digital rectal ...
BackgroundWith the advancement of Artificial Intelligence (AI), clinical engineering has witnessed t...
The rapid development of text-to-image (T2I) generation approaches has attracted extensive interes...
Echocardiography (echo), or cardiac ultrasound, is the most widely used imaging modality for cardi...
Agricultural field operations are generally tracked as work records (WR), incorporating data point...
This paper explores the strategic use of modern synthetic data generation and advanced data pertur...
Federated learning (FL) has the potential to revolutionize healthcare by enabling collaborative data...
A key advantage of Recurrent Neural Networks (RNNs) over Transformers is their linear computationa...