Latest AI and machine learning research in pain management for healthcare professionals.
OBJECTIVE: To conduct a systematic review on Artificial Intelligence-Mediated Communication (AIMC) b...
Semantic segmentation of remote sensing images is essential for various applications, including ve...
Ultrasound imaging frequently encounters challenges, such as those related to elevated noise level...
Pain management and severity detection are crucial for effective treatment, yet traditional self-r...
When applied in healthcare, reinforcement learning (RL) seeks to dynamically match the right inter...
Age prediction using brain imaging, such as MRIs, has achieved promising results, with several stu...
Hyperspectral image (HSI) fusion addresses the challenge of reconstructing High-Resolution HSIs (H...
Graph Neural Networks (GNNs) are widely adopted for fault diagnosis in microservice systems, premi...
Many models are proposed in the literature on biomedical event extraction(BEE). Some of them use t...
Understanding communication and information processing among brain regions of interest (ROIs) is h...
Proteins act as the terminal effectors of cellular function, encoding the phenotypic consequences of...
The pathogenesis of Huntington’s disease is still incompletely understood, despite the remarkable ad...
Self-organized criticality is a hallmark of complex dynamic systems at phase transitions. Systems th...
Effective treatment of chronic pain remains hindered by the lack of drug delivery systems that simul...
Identifying effector proteins of Gram-negative bacterial secretion systems is crucial for understand...
Fibromyalgia (FM) involves widespread musculoskeletal pain and hypersensitivity, often accompanied b...
The non-polio enteroviruses enterovirus-D68 (EV-D68) and enterovirus-A71 (EV-A71) are highly prevale...
Understanding opioid withdrawal behaviors in preclinical models is critical to improving therapeutic...
The efficacy of transcranial magnetic stimulation (TMS) is often limited by non-adaptive protocols t...
Hundreds of computational methods for predicting ligand binding pockets exist, but the problem of fi...
Identifying behavioral and physiological responses to rewarding stimuli is essential for understandi...