Some Chinese herbs have been used to prevent and treat diseases, and are also used as common food ingredients. These Chinese herbs are potential resource for research and development of new drugs. Leek roots is a typical medicine of food and medicine continuum. It has a long history of medicinal applications and edible food in China. In this paper, the origin, biological active components, pharmacological action and clinical application of leek roots were introduced. We hope that this review will contribute to the development of leek roots for pharmaceutical research and clinical applications, as well as related health products.

Arrhythmia is an important disease among cardiovascular diseases. Malignant arrhythmias often occur clinically and are induced by abnormal ion channels， electrical activity disorders， myocardial fibrosis， inflammation， dysfunctional mitochondrial biogenesis， mitochondrial calcium overload， out-of-balance energy metabolism， oxidative stress， sympathetic hyperactivity， and other pathological cardiac remodeling， and they are the main causes of sudden cardiac death. In traditional Chinese medicine， arrhythmias are considered to be palpitations， which are commonly caused by deficiency of Qi and Yin. It is often manifested as a deficiency of the spleen and stomach， resulting in malfunction of the Qi mechanism， followed by a particularly severe decline in cardiac function. Shengmaisan is a representative formula for nourishing Qi and Yin， consisting of Ginseng Radix et Rhizoma， Ophiopogonis Radix， and Schisandrae Chinensis Fructus. In recent years， clinical studies have shown that Shengmaisan and its additions and subtractions are commonly used in the treatment of arrhythmias. In this article， the mechanisms of the active ingredients of Shengmaisan in the electrophysiology， biochemistry， structure， autonomic nervous system， and subcellular fraction of the heart are reviewed， and the multi-target， multi-system， and integrality of Shengmaisan in the treatment of arrhythmias of Qi and Yin deficiency are described. In addition， energy metabolism disorder is tightly juxtaposed with Qi and Yin deficiency syndrome. Mitochondria， as the center of myocardial energy metabolism， play a paramount role in cardiac remodeling， indicating that Shengmaisan will be a salient part of future research to ameliorate cardiac pathologic remodeling through energy metabolism of mitochondria， so as to provide a theoretical basis for the clinical treatment of these arrhythmias.

At present, implant surgery robots have basically achieved "surgical intelligence", but "brain-inspired intelligence" of robots is still in the stage of theory and exploration. The formulation of a clinical implantation plan depends on the timing of implantation, implantation area, bone condition, surgical procedure, patient factors, etc., which need to evaluate the corresponding clinical decision indicators and clinical pathways. Inspired by evidence-based medicine and the potential of big data and deep learning, combined with the data characteristics of clinical decision indicators and clinical pathways that can be quantitatively or qualitatively analyzed, this review simulates the cognitive behavior and neural mechanisms of the human brain and proposes a feasible brain-inspired intelligence scheme by predicting the decision indices and executing clinical pathways intelligently, that is, "select clinical indicators and clarify clinical pathways -- construct database -- use deep learning to intelligently predict decision indicators -- intelligent execution of clinical pathways -- brain-inspired intelligence of implant decision-making". Combined with the previous research results of our team, this review also describes the process of realization of brain-inspired intelligence for immediate implant timing decisions, providing an example of the comprehensive realization of brain-inspired intelligence of implant surgery robots in the future. In the future, how to excavate and summarize other clinical decision factors and select the best way to realize the automatic prediction of evidence-based clinical indicators and pathways and finally realize the complete intellectualization of clinical diagnosis and treatment processes will be one of the directions that dental clinicians need to strive for.