Latest AI and machine learning research in medicaid for healthcare professionals.
Recently, post-training quantization (PTQ) has become the de facto way to produce efficient low-prec...
Federated learning collaborates with multiple clients to train a global model, enhancing the model g...
Cone-beam computed tomography (CBCT) is widely used in dentistry, surgery, radiotherapy and other me...
BACKGROUND: Despite microextraction techniques have gained prominence over traditional extraction on...
Enhancement tasks for low-light images are an open problem whose solutions can impact downstream tas...
The document presents a low-cost, open-source device designed to facilitate the learning of technolo...
This article summarizes existing ethical frameworks for healthcare artificial intelligence (AI) and ...
Low-cost monitors for measuring airborne contaminants have gained popularity due to their affordabil...
OBJECTIVES: To investigate the impacts of a deep learning-based iterative reconstruction algorithm o...
Driven by the progress in efficient embedded processing, there is an accelerating trend toward runni...
Wearable sensors are increasingly used for continuous health monitoring, but their small size limits...
PURPOSE: To compare the image quality and pulmonary nodule detectability and measurement accuracy be...
Low-dose radiation therapy has emerged as a promising modality for cancer treatment because of its a...
BACKGROUND: Diffusion-weighted imaging with higher b-value improves detection rate for prostate canc...
Cerium-based intermetallics have garnered significant research attention as potential new permanent ...
This article introduces a novel deep-learning based framework, Super-resolution/Denoising network (S...
BACKGROUND: Exercise therapy is strongly recommended as a treatment for chronic nonspecific low back...
Coronary artery disease (CAD) is a worldwide leading cause of death. Considering that 20%-40% of pat...
BACKGROUND: Invasive coronary angiography (ICA) is the gold standard in the diagnosis of coronary ar...
BACKGROUND: Despite the global commitment to ending AIDS by 2030, the loss of follow-up (LTFU) in HI...
BACKGROUND: Identifying determinants of low bone mineral density (BMD) is crucial for understanding ...