Latest AI and machine learning research in medicaid for healthcare professionals.
OBJECTIVE: To evaluate radiation dose and image quality of a double-low CCTA protocol reconstructed ...
OBJECTIVE: We present a model-based image reconstruction approach based on unrolled neural networks ...
INTRODUCTION: Adrenal gland incidentalomas (AGIs) are found in up to 5% of cross-sectional images. H...
BACKGROUND: Long-lasting efforts have been made to reduce radiation dose and thus the potential radi...
Early detection of lung cancer is crucial for improving patient outcomes. Although advances in diag...
BACKGROUND: Radiation dose should be as low as reasonably achievable. With the invention of photon-c...
This retrospective study used 10 machine learning algorithms to predict the risk of healthcare-assoc...
Deep learning-based denoising of low-dose medical CT images has received great attention both from a...
This systematic review aimed to evaluate the potential of deep learning algorithms for converting lo...
In computed tomography (CT) imaging, optimizing the balance between radiation dose and image quality...
In recent years, X-ray low-dose computed tomography (LDCT) has garnered widespread attention due to ...
Deep reinforcement learning (DRL) has demonstrated impressive performance in medical image segmentat...
Chromosomal Instability (CIN) is a common and evolving feature in breast cancer. Large-scale Transit...
The pharmaceutical industry is increasingly embracing laboratory automation to enhance experimental ...
This study introduces numerous low-cost gas sensors and a real-time alcoholic beverage classificatio...
In deep-learning-based medical image segmentation tasks, semi-supervised learning can greatly reduce...
Glioma, a predominant type of brain tumor, can be fatal. This necessitates an early diagnosis and ef...
Fatigue driving is one of the leading causes of traffic accidents, and the rapid and accurate detect...
BACKGROUND: There is ongoing uncertainty about the effectiveness of various adjuvant treatments for ...
BACKGROUND: Digital subtraction angiography (DSA) devices are commonly used in numerous intervention...
BACKGROUND: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has emerged as a new s...