Latest AI and machine learning research in alternative medicine for healthcare professionals.
Under the background of artificial intelligence, the internationalization of acupuncture and moxibus...
The diversity of diseases in rheumatology and variability in disease prevalence necessitates greater...
Cells are complex systems in which many functions are performed by different genetically defined and...
BACKGROUND: Human-machine teaming (HMT) typically combines perspectives from systems engineering, ar...
The data FAIR Guiding Principles state that all data should be Findable, Accessible, Interoperable, ...
The modern pharmaceutical industry is transitioning from traditional methods to advanced technologie...
Machine learning is a good tool to simulate human cognitive skills as it is about mapping perceived ...
Robotic percutaneous coronary intervention (R-PCI) is an emerging technology designed to improve ope...
The neuroscience of perception has recently been revolutionized with an integrative modeling approac...
Acupuncture therapy is one of the cornerstones in traditional Chinese medicine. It requires rich exp...
OBJECTIVES: As a common step in the herbal medicine production process, percolation usually lacks ef...
BACKGROUND: Medical artificial intelligence (AI) has entered the clinical implementation phase, alth...
OBJECTIVE: We introduce Medical evidence Dependency (MD)-informed attention, a novel neuro-symbolic ...
The application of deep learning techniques has led to substantial progress in solving a number of c...
Plant metabolites comprise a wide range of extremely important chemicals. In many cases, like savory...
Using administrative data on all Veterans who enter Department of Veterans Affairs (VA) medical cent...
In this article, we compare the performance of a state-of-the-art segmentation network (UNet) on two...
Interventional cardiovascular medicine has seen constant progress over the last few decades. Since t...
Residue coevolution estimations coupled to machine learning methods are revolutionizing the ability ...
OBJECTIVE: To compare the therapeutic effect between rehabilitation robot rehabilitation training sy...
OBJECTIVE: We aim to develop a hybrid model for earlier and more accurate predictions for the number...