Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

Spinal maladies are among the most common causes of pain and disability worldwide.
Imaging represents an important diagnostic procedure in spinal care. Imaging investigations …

Medical knowledge graphs (MKGs) are the basis for intelligent health care, and they have
been in use in a variety of intelligent medical applications. Thus, understanding the research …

知识图谱是赋予机器背景知识的大规模语义网络. 利用知识图谱对多源异构的医学信息进行有序
化组织, 能有效提升海量医学资源的利用价值, 推动医学智能化发展. 从知识图谱的关键技术 …

The use of artificial intelligence approaches in health-care systems has grown rapidly over
the last few years. In this context, early detection of diseases is the most common area of …

Federated learning (FL) can be essential in knowledge representation, reasoning, and data
mining applications over multi-source knowledge graphs (KGs). A recent study FedE first …

In machine learning, exploring data correlations to predict outcomes is a fundamental task.
Recognizing causal relationships embedded within data is pivotal for a comprehensive …

To practice the evidence-based medicine, clinicians are interested to find the most suitable
research for the clinical decision making. The use of knowledge graphs (KGs) in evidence …

Knowledge graph (KG) embedding has been used to benefit the diagnosis of animal
diseases by analyzing electronic medical records (EMRs), such as notes and veterinary …

Background Patients and families need to be provided with trusted information more than
ever with the abundance of online information. Several organizations aim to build databases …