The motivation for this research comes from the gap found in discovering the common
ground for medical context learning through analytics for different purposes of diagnosing …

In order to effectively integrate medical data and alleviate the problem of uneven distribution
of medical resources. In this paper, we combine the techniques of expert systems, graph …

The state-of-the-art misinformation detection techniques mainly focus on static datasets.
However, a massive amount of information is generated online and the websites are flooded …

Virtual assistants are involved in the daily activities of humans such as managing calendars,
making appointments, and providing wake-up calls. They provide a conversational service …

With the development of artificial intelligence technology in the medical field, clinical trials
using artificial intelligence as an intervention method are constantly emerging. This article …

With the continuous improvement of medical level, the demand for medical devices
increases year by year, and it is necessary to track the quality and safety of medical devices …

Considering the amount of false information spread rapidly, identifying the spreaders of false
information is significant and has become a need of time. Although some models detect the …

In order to explore the clinical application value of intelligent health care knowledge
combined with closed reduction intramedullary nail fixation in elderly patients with …

Dialogue systems are an important research direction in artificial intelligence, with broad
application prospects and market value. In order to improve system efficiency and user …

As a chronic disease, diabetes in the elderly patients is incurable and has a long treatment
time, most of the symptoms are atypical, and onset is difficult to detect. This is among the …