Latest AI and machine learning research in medicaid for healthcare professionals.
BACKGROUND: The integration of artificial intelligence (AI) into health care has become a crucial el...
OBJECTIVE: Using deep learning-based techniques to overcome physical limitations and explore the pot...
Magnetic resonance imaging (MRI) has changed veterinary diagnosis but its long-sequence time can be ...
BACKGROUND: In clinical settings, intracranial hemorrhages (ICH) are routinely diagnosed using non-c...
Low-density lipoprotein cholesterol (LDL-C) is an important factor in the development of cardiovascu...
BACKGROUND: Wrong-site surgery (WSS) is a critical but preventable medical error, often resulting in...
Images captured in nighttime or low-light environments are often affected by external factors such a...
Wearable devices with continuous monitoring capabilities are critical for the daily detection of epi...
PURPOSE: The aim of this study is to convert low-dose PET (L-PET) images to full-dose PET (F-PET) im...
Recently, increasing research attention has been directed toward detecting the distribution of hazar...
BACKGROUND: Low birth weight (LBW) is a critical global health issue that affects infants disproport...
Key challenges in upper limb prosthetics include a lack of effective control systems, the often inva...
Identifying new anti-seizure medications (ASMs) is difficult due to limitations in animal-based assa...
In recent decades, the integration of artificial intelligence (AI) into health care has revolutioniz...
OBJECTIVES: To exploit the capability of super-resolution deep learning reconstruction (SR-DLR) to s...
Joint low-rank and sparse unrolling networks have shown superior performance in dynamic MRI reconstr...
OBJECTIVE: The aim of this study was to intraindividually compare the conspicuity of focal liver les...
Artificial neurons with bio-inspired firing patterns have the potential to significantly improve the...
Low-Rank Representation (LRR) methods integrate low-rank constraints and projection operators to mod...
This empirical study assessed the potential of developing a machine-learning model to identify child...
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection ...