Advanced searches left 3/3

Artificial Intelligence - Crossref

Summarized by Plex Scholar
Last Updated: 10 January 2023

* If you want to update the article please login/register

The application of artificial intelligence in gastrointestinal endoscopy: a state-of-the-art review

Artificial intelligence has also sparked a new wave in recent years, with continued advances in science and technology. In clinical trials, the safety and success of AI in gastrointestinal endoscopy have been demonstrated. What's more, the safety of the use of AI in gastrointestinal endoscopy have been demonstrated. We review the current research findings and future development of AI in gastrointestinal endoscopy in this issue. Artificial intelligence has also set off a new wave in recent years, with continued advancement of science and technology. The application of AI in endoscopy mainly involves the detection of lesions, classification of diseases, selection of the best therapy, prognosis determination, and quality control. In clinical trials, the safety and efficiency of AI in gastrointestinal endoscopy have been established. What's more, the safety of the procedure in gastrointestinal endoscopy have been established. We review the current scientific status and future of AI in gastrointestinal endoscopy in this article.

Source link: https://doi.org/10.55976/jdh.120221423-18


An artificial intelligence-based system assisted endoscopists to detect early gastric cancer: a case report

Artificial intelligence techniques have the ability to enhance the detection of EGC. We present a case of early gastric cancer discovered by an endoscopist with the support of an AI device. Case Summary: A 67-year-old male patient was admitted to our hospital for Esophagogastroduodenoscopy as a result of a routine physical examination. It was high-grade intraepithelial neoplasia, and after endoscopic mucosal dissection, post-ESD histology revealed that the lesion was a distinctive adenocarcinoma limited to the mucosa with a lesion range of 1. 1 cm. u00d7 1. 0 cm. Conclusion: AI has been widely used in the field of gastrointestinal endoscopy and has the ability to help reduce the incidence of early gastrointestinal cancer detection. We reported a case of early gastric cancer found by the endoscopist with the support of AI.

Source link: https://doi.org/10.55976/jdh.1202214525-29


Role of Digital Health and Artificial Intelligence in Inflammatory Bowel Disease: A Scoping Review

Chronic illnesses of intestinal tract inflammation that are characterized by relapsing and remitting periods of inflammation are divided into Crohn's disease and ulcerative colitis. The amount of study into digital health and artificial intelligence has risen in recent years. The aim of this scoping report is to explore the role of DH and AI in the diagnosis, monitoring, and prognosis of IBD. Both AI algorithms and DH technologies have shown the benefits of both AI algorithms and DH technologies; AI algorithms can aid diagnostic accuracy, detect disease risk, and predict treatment response based on data modalities such as endoscopic imaging and genetic information. A analysis of 21 studies revealed the impact of both AI algorithms and DH technologies; AI algorithms can enhance diagnostic reliability, monitor disease risk, and predict treatment responses; and genetic analysis can reveal drug interactions. Patients using DH services saw improvements in quality of life, disease awareness, treatment compliance, and medication administration, as a result of improved DH.

Source link: https://doi.org/10.3390/genes12101465


A Systems and Control Theory Approach for Law and Artificial Intelligence: Demystifying the “Black-Box”

I propose a conceptual framework for law and artificial intelligence in this paper, which is based on concepts developed from systems and control theory. This paper aims to demonstrate that not only is the hardware output a crucial component of law and AI, but also the relationship between the systems input and its desired result, which is mediated by a feedback loop.

Source link: https://doi.org/10.3390/j4030040


Home-Tutoring Services Assisted with Technology: Investigating the Role of Artificial Intelligence Using a Randomized Field Experiment

Despite increased interest in artificial intelligence technology, study in services marketing has not evaluated its role in helping businesses understand customer needs and increasing the adaptability of service employees, despite a surge in curiosity in artificial intelligence technologies. Given the flexibility of AI solutions in a variety of services marketing situations, the authors suggest that businesses investigate the potential risks employees face when using the technology rather than encouraging them to use it as it is.

Source link: https://doi.org/10.1177/00222437211050351


Design of Air Cushion Vehicles Using Artificial Intelligence: Expert System and Genetic Algorithm

Initial design of an Air Cushion Vehicle is carried out with the expert system, and its skirt system is further enhanced with the genetic algorithm, which is included in the thesis. Both the expert system and the genetic algorithm are modern computerized design methods of artifical intelligence. The skirt system of ACVs is further enhanced in the second part of the thesis. The bag and finger skirt's specifics are particularly optimized for enhanced ride quality and stability by the genetic algorithm, in particular. The results of the experiments showed that the expert system was successfully implemented and was a useful tool for ACVs' initial configuration. It was also found that the skirt mass was a significant design element in the bag and finger skirt's heave response. Hence, this thesis research demonstrated the new possibility of designing ACVs with artificial intelligence techniques.

Source link: https://doi.org/10.32920/ryerson.14662224


Design of Air Cushion Vehicles Using Artificial Intelligence: Expert System and Genetic Algorithm

Initial design of an Air Cushion Vehicle is carried out with the expert system, and its skirt system is further improved with the genetic algorithm. Both the expert system and the genetic algorithm are sophisticated computerized design methods for artifical intelligence. The thesis research is divided into two parts. The skirt system of ACVs is further enhanced in the second part of the thesis. The bag and finger skirt's physical properties are optimized for increased ride quality and stability by the genetic algorithm, in particular. In addition, the genetic algorithm tailored the skirt system for significant ride quality and stability. It was also reported that the skirt mass was a significant design factor in the bag and finger skirt's heave reaction. Hence, this thesis research opened the possibility of designing ACVs with artificial intelligence techniques.

Source link: https://doi.org/10.32920/ryerson.14662224.v1


Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke

Aims We review whether including artificial intelligence enabled retinal vasculometry improves current risk scores for incident stroke, myocardial infarction, and circulatory mortality. Methods based on Image Processing from 88 052 UK Biobank participants and 7411 European Prospective Investigation into Cancer –Norfolk participants. Event risk scores for incident stroke and incident MI, which included the addition of RV to FRS, were compared to a simpler model based on RV, age, smoking status, and medical history. FIGURE 0. 73 percent and 0. 33 percent respectively, and the estimated C-statistics and R 2 estimates between 0. 75 u20130. 77 and 0. 33 percent in women were optimistic about revised C-statistics and R 2 results. Conclusion RV provides an alternative risk-score for cardiovascular health that does not include blood sampling or blood pressure testing. Additional research is required to investigate RV in population screening to triage individuals at high risk.

Source link: https://doi.org/10.1136/bjo-2022-321842

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions