AIMC Topic: China

Clear Filters Showing 2061 to 2070 of 2176 articles

[Research and development of intelligent medical equipment and internationalization of acupuncture and moxibustion: thoughts from researchers of acupuncture robot].

Zhongguo zhen jiu = Chinese acupuncture & moxibustion
Under the background of artificial intelligence, the internationalization of acupuncture and moxibustion has braced an important opportunity. Intelligent medical equipment for acupuncture and moxibustion has entered from the laboratory into the clini...

[New definition of precision nutrition: concept and implementation].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
The following 10 to 15 years will be a key strategic period for China to improve national nutrition and health. As people's understanding of health and disease continues to deepen, health was defined as a series of signs that can maintain physiologic...

[Next-generation diagnostic pathology].

Zhonghua bing li xue za zhi = Chinese journal of pathology
With the technological progresses and applications of human genome sequencing, bioinformatics analysis and data mining, and molecular pathology and artificial intelligence-assisted pathological diagnosis, the development of clinical medicine is movin...

Entity recognition of Chinese medical text based on multi-head self-attention combined with BILSTM-CRF.

Mathematical biosciences and engineering : MBE
Named entities are the main carriers of relevant medical knowledge in Electronic Medical Records (EMR). Clinical electronic medical records lead to problems such as word segmentation ambiguity and polysemy due to the specificity of Chinese language s...

[Exploration of applying machine learning in establishment of vitamin D classifiers among Chinese elderly].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
To establish vitamin D classification models for Chinese elderly using machine learning techniques. Based on the datasets of 2010-2012 Chinese nutrition and health surveillance, the basic information and physical exercise of the subjects were colle...

Applying Intelligent Algorithms to Automate the Identification of Error Factors.

Journal of patient safety
OBJECTIVES: Medical errors are the manifestation of the defects occurring in medical processes. Extracting and identifying defects as medical error factors from these processes are an effective approach to prevent medical errors. However, it is a dif...

Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms.

Plant physiology
Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield, thereby facilitating high-throughput phenotyping of maize (Zea mays). LAI estimation models use multi-source data from unmanned aerial vehicles (UAVs), but ...

Development of a deep learning method for CT-free correction for an ultra-long axial field of view PET scanner.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
INTRODUCTION: The possibility of low-dose positron emission tomography (PET) imaging using high sensitivity long axial field of view (FOV) PET/computed tomography (CT) scanners makes CT a critical radiation burden in clinical applications. Artificial...