人工智能应用研究快讯 2021-11-20

[HTML] Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging

R Shad, JP Cunningham, EA Ashley, CP Langlotz...
Nature Machine Intelligence, 2021
ABSTACT:Abstract The National Institutes of Health in 2018 identified key focus areas for the
future of artificial intelligence in medical imaging, creating a foundational roadmap
for research in image acquisition, algorithms, data standardization and translatable...


[PDF] Geospatial Artificial Intelligence (GeoAI)

S Gao - 2021
NA
ABSTACT:Nowadays, artificial intelligence (AI) is bringing tremendous new opportunities and
challenges to geospatial research. Its fast development is powered by theoretical
advancement, big data, computer hardware (eg, the graphics processing unit, or...


[HTML] Examining Artificial Intelligence (AI) Technologies in Marketing Via a Global Lens: Current Trends and Future Research Opportunities

PK Kopalle, M Gangwar, A Kaplan, D Ramachandran...
International Journal of..., 2021
ABSTACT:Artificial intelligence (AI) has captured substantial interest from a wide array of
marketing scholars in recent years. Our research contributes to this emerging domain
by examining AI technologies in marketing via a global lens. Specifically, our lens...


[HTML] Forum on Artificial Intelligence/Machine Learning for Design and Development of Applied Materials

ON Oliveira Jr, D Beljonne, SS Wong, KS Schanze - 2021
NA
ABSTACT:Machine learning (ML) and other artificial intelligence (AI) methods are bound to
transform science and technology, as this is already happening in many other areas
of human activity. The use of machine learning in chemistry, materials sciences, and...


Enhancing Diagnosis Through Technology: Decision Support, Artificial Intelligence, and Beyond

R El-Kareh, DF Sittig
Critical Care Clinics, 2022
ABSTACT:Critical care settings are complex environments that are well-suited for diagnostic
clinical decision support (CDS). First, the patients are critically ill and decisions need
to be made quickly to avoid rapid patient deterioration, morbidity, and mortality. 1...


Guest Editorial Special Issue on Artificial Intelligence-Based Sensors for Next Generation IoT Applications

SKS Tyagi, W Wei, V Piuri, SC Mukhopadhyay...
IEEE Sensors Journal, 2021
ABSTACT:The path towards next-generation IoT is fundamentally characterized by artificial
intelligence-based sensors. However, there are still some open issues, such as
efficiency, accuracy, privacy, data trustworthiness, quality etc., that need to be...


[HTML] Application of Artificial Intelligence in Renal Disease

L Yao, H Zhang, M Zhang, X Chen, J Zhang, J Huang...
Clinical eHealth, 2021
ABSTACT:Artificial intelligence (AI) has been applied widely in almost every area of our daily
lives, due to the growth of computing power, advances in methods and techniques,
and the explosion of data, it also plays a critical role in academic disciplines...


Artificial intelligence application in drought assessment, monitoring and forecasting: a review

A Kikon, PC Deka
Stochastic Environmental Research and Risk..., 2021
ABSTACT:Drought is a natural hazard creating havoc on economic, social and environmental
aspects. As a result of its slow and creeping nature, it is problematic to establish the
onset as well as the termination of drought. Irrespective of its spatial and temporal...


Artificial intelligence and creative activities inside organizational behavior

A Paesano
International Journal of Organizational Analysis, 2021
ABSTACT:Purpose This study aims to investigate about the use of artificial intelligence (AI)(man
machine relationship) regarding organizational behavior. The aim of this research
paper is to analyze whether the current AI is used also to replace man in \creative...


Missing Value Filling Based on the Collaboration of Cloud and Edge in Artificial Intelligence of Things

T Wang, H Ke, A Jolfaei, S Wen, M Sayadhaghighi...
IEEE Transactions on..., 2021
ABSTACT:With the development of 5G and IoT, all kinds of real life data are collected and
recorded by a large number of sensors. It is of great significance to mine and analyze
the hidden information in the data to provide predictions for the future. However, due...


[HTML] Artificial intelligence model comparison for risk factor analysis of patent ductus arteriosus in nationwide very low birth weight infants cohort

JY Na, D Kim, AM Kwon, JY Jeon, H Kim, CR Kim...
Scientific Reports, 2021
ABSTACT:Despite the many comorbidities and high mortality rate in preterm infants with patent
ductus arteriosus (PDA), therapeutic strategies vary depending on the clinical setting,
and most studies of the related risk factors are based on small sample populations...


[HTML] Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy

E Ipp, D Liljenquist, B Bode, VN Shah, S Silverstein...
JAMA Network Open, 2021
ABSTACT:Importance Diabetic retinopathy (DR) is a leading cause of blindness in adults
worldwide. Early detection and intervention can prevent blindness; however, many
patients do not receive their recommended annual diabetic eye examinations...


Artificial Intelligence as Accelerator for Genomic Medicine and Planetary Health

G Gulfidan, H Beklen, KY Arga
OMICS: A Journal of Integrative Biology, 2021
ABSTACT:Genomic medicine has made important strides over the past several decades, but as
new insights and technologies emerge, the applications of genomics in medicine
and planetary health continue to evolve and expand. An important grand challenge...


[HTML] Development of new gas condensate viscosity model using artificial intelligence

F Faraji, JO Ugwu, PL Chong
Journal of King Saud University-Engineering Sciences, 2021
ABSTACT:Accurate estimation of gas condensate fluid properties is a challenging task due to
evolving condensate liquid from the gas phase below the saturation pressure.
Among the fluid properties viscosity of condensate liquid has the largest prediction...


Artificial Intelligence Enhanced Two-stage Hybrid Fault Prognosis Methodology of PMSM

B Cai, Z Wang, H Zhu, Y Liu, K Hao, Z Yang, Y Ren...
IEEE Transactions on..., 2021
ABSTACT:Fault prognosis based on single model is generally inaccurate due to the varying
working conditions. A multistage fault prognosis methodology combining stage
identification with Bayesian networks (BNs) and time series approach with particular...


[HTML] Embedded VR Video Image Control System in the Ideological and Political Teaching System Based on Artificial Intelligence

F Jia, S Xu, J Huo
Mobile Information Systems, 2021
ABSTACT:With the increasing development of multimedia teaching, the combination of virtual
reality (VR) and video image control has very attractive development prospects in
ideological and political teaching, for example, the use of virtual technology in games...


[HTML] Artificial intelligence for imaging-based COVID-19 detection: systematic review comparing added value of AI versus human readers

C Kriza, V Amenta, A Zenié, D Panidis, H Chassaigne...
European Journal of..., 2021
ABSTACT:Purpose A growing number of studies have examined whether Artificial Intelligence
(AI) systems can support imaging-based diagnosis of COVID-19-caused pneumonia,
including both gains in diagnostic performance and speed. However, what is...


An Artificial Intelligence Approach for Real-Time Tuning of Weighting Factors in FCS-MPC for Power Converters

S Vazquez, D Marino, E Zafra, M Valdes...
IEEE Transactions on..., 2021
ABSTACT:In this paper a finite control set model predictive control is used to track a current
reference in a power converter connected to an RL load. An artificial intelligence (AI)
approach is presented for real-time determination of the weighting factor that...


Artificial Intelligence Assesses Clinician's Adherence to Asthma Guidelines using Electronic Health Records

E Sagheb, CI Wi, J Yoon, HY Seol, P Shrestha, E Ryu...
The Journal of Allergy and..., 2021
ABSTACT:Background Clinician's asthma guideline adherence in asthma care is suboptimal.
The effort for improving adherence can be enhanced by assessing and monitoring
clinician's adherence to guidelines reflected in electronic health records (EHRs)...


Performance of artificial intelligence-based coronary artery calcium scoring in non-gated chest CT

J Xu, J Liu, N Guo, L Chen, W Song, D Guo, Y Zhang...
European Journal of..., 2021
ABSTACT:Objectives To evaluate the risk category performance of artificial intelligence-based
coronary artery calcium score (AI-CACS) software used in non-gated chest computed
tomography (CT) on three types of CT machines, considering the manual method as...


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