Status Of Artificial Intelligence Applications Research Articles

Research on English Translation Teaching Mode Based on Artificial Intelligence

With the continuous development of artificial intelligence technology, its application in the field of education is becoming increasingly widespread. This article aims to explore the effectiveness of an AI based English translation teaching model and its impact on traditional teaching models. By analyzing the current application status of artificial intelligence in English translation teaching, this article summarizes the advantages of artificial intelligence in personalized learning, real-time feedback, language data processing, etc., while also pointing out its limitations in the teaching process. Finally, this article proposes the development direction and improvement suggestions of English translation teaching mode based on artificial intelligence, in order to provide useful reference for educators.

Development and Impact of Artificial Intelligence Technology in the Accounting Industry

This paper discusses the current application status of artificial intelligence (AI) technology in the field of accounting and its impact on the transformation of accounting functions. It also proposes measures to address the challenges and risks faced by the accounting industry under the background of AI. By analyzing the impact of current AI technology on the basic functions, expanded functions, and transformative functions of accounting, the paper points out the importance of structural adjustments in the accounting industry, emphasis on information security, and risk alertness. It also emphasizes the need for continuous learning and improvement among accounting professionals to adapt to the trend of intelligent development. Finally, it calls for strengthened legal supervision to ensure the healthy development of AI in the accounting field and provide guarantees for the advancement of accounting intelligence.

Innovative Strategies for Teaching Models in Higher Vocational English Education under the Background of Artificial Intelligence

This paper aims to explore innovative strategies for teaching models in higher vocational English education under the background of artificial intelligence, especially in the context of the current global educational technology transformation. The study focuses on how to effectively integrate artificial intelligence technology to enhance the quality of higher vocational English teaching. The research methods primarily include literature analysis and theoretical discussion. By reviewing domestic and international related research findings, the paper provides a comprehensive overview and analysis of the application status of artificial intelligence in higher vocational English teaching, existing problems, and solutions. During the research process, the development of artificial intelligence technology and its application in the educational field are first outlined. Subsequently, the paper focuses on analyzing specific strategies for the application of artificial intelligence in higher vocational English teaching, including personalized teaching, smart classrooms, and blended teaching models. The study finds that artificial intelligence technology can significantly enhance the efficiency and effectiveness of higher vocational English teaching. However, in practical applications, it still faces challenges such as insufficient technical capabilities of teachers and uneven resource distribution. Based on this, the paper proposes solutions to these problems, including strengthening teacher training, improving technical infrastructure, and promoting educational resource sharing. Ultimately, the paper concludes that with the continuous development and improvement of artificial intelligence technology, innovative teaching models in higher vocational English education are expected to achieve a higher level of personalization, intelligence, and informatization, providing students with more high-quality educational resources and learning experiences.

Brief analysis of research and application status of artificial intelligence and related advanced technology in oral medicine

Artificial intelligence revealed its application prospects that could bring change in oral medicine. Artificial intelligence related papers in oral medicine field increased year by year since the 1990s. In order to provide reference for further research, the literature on artificial intelligence studies and its application in oral medicine were retrieved from multiple databases and summarized. The evolution of hot spots on artificial intelligence and related state of the art technology in oral medicine were analyzed.人工智能在口腔医学领域显示出可能带来变革的应用前景，相关文献从20世纪90年代以来呈逐年增长趋势。本文通过文献检索，初步总结口腔医学领域人工智能相关文献的发表情况，浅析口腔医学领域人工智能研究的热点演变及相关技术进展，以期为人工智能研究和应用提供参考。.

Analysing research and application status of artificial intelligence and related advanced technology in oral medicine

Artificial intelligence revealed the application prospects that could bring change in oral medicine. Papers on artificial intelligence interrelating with oral medicine were increasing year by year since the 1990s. In order to provide reference for further research, the publication status of literature on artificial intelligence studying and applying in oral medicine were retrieved and summarized through multiple databases, and the evolution of hot spots deeply involved in studying artificial intelligence and related advanced technology in oral medicine were analysed.

Research on the Challenge of Computer Artificial Intelligence Technology to Financial Risk Management

Artificial intelligence is widely used in people’s lives. With the popularity of artificial intelligence, the financial industry has also ushered in reforms. With other technical support, the integration of artificial intelligence technology has formed a new model of financial industry development, that is,“ Internet + big data + artificial intelligence + financial risk control”. It has gradually become popular in this rapidly developing society. And this new model will be the main form of financial risk control in the future. This paper mainly sorts out the application status of artificial intelligence in the financial field, and it analyzes its advantages and problems.

Artificial intelligence in small intestinal diseases: Application and prospects.

The small intestine is located in the middle of the gastrointestinal tract, so small intestinal diseases are more difficult to diagnose than other gastrointestinal diseases. However, with the extensive application of artificial intelligence in the field of small intestinal diseases, with its efficient learning capacities and computational power, artificial intelligence plays an important role in the auxiliary diagnosis and prognosis prediction based on the capsule endoscopy and other examination methods, which improves the accuracy of diagnosis and prediction and reduces the workload of doctors. In this review, a comprehensive retrieval was performed on articles published up to October 2020 from PubMed and other databases. Thereby the application status of artificial intelligence in small intestinal diseases was systematically introduced, and the challenges and prospects in this field were also analyzed.

Analysis on the application status of artificial intelligence in COVID-19

Since December 2019, an outbreak of novel coronavirus pneumonia (COVID-19) in Wuhan, Hubei Province, which has caused wide public concern all through the world. Although artificial intelligence is a priority development fields in recent years, there is no study on the application and effect of AI in this epidemic. Based on the application of AI scenarios in typical cases, the research analyzes the practice and effectiveness of AI in epidemic surveillance, clinical diagnose, public health management and other related scientific research. Besides, combined with the current situation of development, some suggestions are put forward in order to better play the role of artificial intelligence in the public health emergency system in China. Key words: Artificial intelligence; Public health emergency; Applications; Contingency management

Analysis on the application status of artificial intelligence in healthcare

The combination of healthcare and artificial intelligence is an important direction of medical development. The authors summarized the application of artificial intelligence in such fields as diagnosis, treatment, prevention, scientific research, teaching among others. The analysis covers the problems and challenges facing the development of artificial intelligence, and looks forward to the application prospect of artificial intelligence. Key words: Information service; Artificial intelligence; Healthcare; Application area

Artificial Intelligence in Healthcare

Artificial intelligence is to reduce human cognitive functions. It is bringing an approach to healthcare, powdered by increasing the availability of healthcare data and rapid progress of analyst techniques. We can survey the current status of Artificial intelligence applications in healthcare and discuss its future uses. It is the most transformative technology of the 21th century. Healthcare has been identified as an early candidate to be revolutized by artificial intelligence technologies. This article aims for providing an early stage contribution with the decision making capacities of artificial intelligence technologies. The possible ethical and legally complex backdrop of the existing framework. I will conclude the present structures are largely fit to deal with the challenge of artificial intelligence are present will discuss clearly about the artificial intelligence contribution to the present health care. Artificial intelligence, machine learning, deep learning can assist with proactive patient care, reduced future risk and streamlined work processes.
 Keywords: Artificial intelligence, machine learning, clinical decision support.

Review on the Application of Artificial Intelligence in Smart Homes

Smart home and artificial intelligence technologies are developing rapidly, and various smart home products associated with artificial intelligence (AI) improved the quality of living for occupants. Although some studies discussed the application of artificial intelligence in smart homes, few publications fully considered the integration of literature and products. In this paper, we aim to answer the research questions of “what is the trend of smart home technology and products” and “what is the relationship between literature and products in smart homes with AI”. Literature reviews and product reviews are given to define the functions and roles of artificial intelligence in smart homes. We determined the application status of artificial intelligence in smart home products and how it is utilized in our house so that we could understand how artificial intelligence is used to make smart homes. Furthermore, our results revealed that there is a delay between literature and products, and smart home intelligent interactions will become more and more popular.

Current status of artificial intelligence applications in urology and their potential to influence clinical practice.

To investigate the applications of artificial intelligence (AI) in diagnosis, treatment and outcome predictionin urologic diseases and evaluate its advantages over traditional models and methods. A literature search was performed after PROSPERO registration (CRD42018103701) and in compliance with Preferred Reported Items for Systematic Reviews and Meta-Analyses (PRISMA) methods. Articles between 1994 and 2018 using the search terms "urology", "artificial intelligence", "machine learning" were included and categorized by the application of AI in urology. Review articles, editorial comments, articles with no full-text access, and nonurologic studies were excluded. Initial search yielded 231 articles, but after excluding duplicates and following full-text review and examination of article references, only 111 articles were included in the final analysis. AI applications in urology include: utilizing radiomic imaging or ultrasonic echo data to improve or automate cancer detection or outcome prediction, utilizing digitized tissue specimen images to automate detection of cancer on pathology slides, and combining patient clinical data, biomarkers, or gene expression to assist disease diagnosis or outcome prediction. Some studies employed AI to plan brachytherapy and radiation treatments while others used video based or robotic automated performance metrics to objectively evaluate surgical skill. Compared to conventional statistical analysis, 71.8% of studies concluded that AI is superior in diagnosis and outcome prediction. AI has been widely adopted in urology. Compared to conventional statistics AI approaches are more accurate in prediction and more explorative for analyzing large data cohorts. With an increasing library of patient data accessible to clinicians, AI may help facilitate evidence-based and individualized patient care.