Latest AI and machine learning research in medical education for healthcare professionals.
The significance and novelty of the present work are the preparation of the non-lead ceramic by the ...
To explore the feasibility of applying magnetic stimulation technology to the movement control of an...
In 2006, Japan's pharmaceutical science education was revised to a 6-year enrollment course, placing...
Psychological First Aid (PFA) is practiced worldwide. This practice in English is guided through a ...
It is easy to cause thermal damage to the bone tissue when the surgical robot performs skull drillin...
BACKGROUND: Along with China entering an aging society, the percentage of people that over 60 will r...
Measures of discrepancy between probability distributions (statistical distance) are widely used in ...
It is critical to use research methods to collect and regulate surface water to provide water while ...
Shanghai University School of Medicine was a newly established medical college in 2018. It is founde...
OBJECTIVE: This study aimed to investigate the feasibility of using artificial intelligence (AI) to ...
The generation of synthetic genomic sequences using neural networks has potential to ameliorate priv...
Reverberant Shear Wave Elastography (RSWE) is an ultrasound elastography technique that offers great...
An important challenge in reinforcement learning is to solve multimodal problems, where agents have ...
Routine medical care is to be transformed by the introduction of artificial intelligence (AI), requi...
A neural network-assisted molecular dynamics method is developed to reduce the computational cost of...
Computational methods have been widely applied to resolve various core issues in drug discovery, suc...
SIGNIFICANCE: To achieve early detection of osteoporosis, a simple bone densitometry method using op...
RATIONALE AND OBJECTIVES: Our goal was to create an artificial intelligence (AI) training curriculum...