Artificial Intelligence for Caries Detection: Randomized Trial

S Mertens, J Krois, AG Cantu, LT Arsiwala...
Journal of Dentistry, 2021
ABSTACT:Objectives: We aimed to assess the impact of an artificial intelligence (AI)-based
diagnostic-support software for proximal caries detection on bitewing radiographs.
Methods: A cluster-randomized cross-over controlled trial was conducted. A...

[HTML] Artificial intelligence on COVID-19 pneumonia detection using chest xray images

LR Baltazar, MG Manzanillo, J Gaudillo, ED Viray...
PloS one, 2021
ABSTACT:Recent studies show the potential of artificial intelligence (AI) as a screening tool to
detect COVID-19 pneumonia based on chest x-ray (CXR) images. However, issues
on the datasets and study designs from medical and technical perspectives, as well...

Applied artificial intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19

UH Uzir, H Al Halbusi, RLT Hock, I Jerin, ABA Hamid...
Technology in Society, 2021
ABSTACT:Abstract The evolution of Artificial Intelligence (AI) has revolutionized many aspects
of human life, including healthcare. Amidst the Covid-19 pandemic, AI-enabled
smartwatches are being used to help users to self-monitor and self-manage their...

Consumer responses to the use of artificial intelligence in luxury and non-luxury restaurants

C Nozawa, T Togawa, C Velasco, K Motoki
Food Quality and Preference, 2021
ABSTACT:There has been an ever-increasing interest in artificial intelligence (AI) in the
hospitality sector. However, it is still unclear how consumers respond to
products/services in hospitality industries provided by AI. Building on the theoretical...

[HTML] Prediction of viral symptoms using wearable technology and artificial intelligence: A pilot study in healthcare workers

PF D'Haese, V Finomore, D Lesnik, L Kornhauser...
PloS one, 2021
ABSTACT:Conventional testing and diagnostic methods for infections like SARS-CoV-2 have
limitations for population health management and public policy. We hypothesize that
daily changes in autonomic activity, measured through off-the-shelf technologies...

[PDF] Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence

A Kolevatova, MA Riegler, F Cherubini, X Hu...
Big Data and Cognitive..., 2021
ABSTACT:A general issue in climate science is the handling of big data and running complex
and computationally heavy simulations. In this paper, we explore the potential of
using machine learning (ML) to spare computational time and optimize data usage...

A review of artificial intelligence applied to path planning in UAV swarms

A Puente-Castro, D Rivero, A Pazos...
Neural Computing and..., 2021
ABSTACT:Abstract Path Planning problems with Unmanned Aerial Vehicles (UAVs) are among
the most studied knowledge areas in the related literature. However, few of them
have been applied to groups of UAVs. The use of swarms allows to speed up the...

Artificial intelligence in dance education: Dance for students with special educational needs

M Hu, J Wang
Technology in Society, 2021
ABSTACT:Participation in inclusive dance can have positive results for different groups of
people with special needs, including those with mobility impairments. The purpose of
study is to analyze the level of physical development and psychomotor skills of...

[HTML] Estimation of current and post-treatment retinal function in chronic central serous chorioretinopathy using artificial intelligence

M Pfau, EHC van Dijk, TJ van Rijssen...
Scientific Reports, 2021
ABSTACT:Refined understanding of the association of retinal microstructure with current and
future (post-treatment) function in chronic central serous chorioretinopathy (cCSC)
may help to identify patients that would benefit most from treatment. In this post-hoc...

[HTML] Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept

I Skarping, M Larsson, D Fornvik
European Radiology, 2021
ABSTACT:Objectives In this proof of concept study, a deep learning-based method for
automatic analysis of digital mammograms (DM) as a tool to aid in assessment of
neoadjuvant chemotherapy (NACT) treatment response in breast cancer (BC) was...

Discussion: A comparative study on the application of artificial intelligence networks versus regression analysis for the prediction of clay plasticity

BC O'Kelly, A Soltani
Arabian Journal of Geosciences, 2021
ABSTACT:... … Discussion: A comparative study on the application of artificial intelligence
networks versus regression analysis for the prediction of clay plasticity [Arab J
Geosci (2021) 14(7), 534] … Discussion: A comparative study on the application of …

[PDF] Applying Artificial Intelligence Methods to Detect and Classify Fish Calls from the Northern Gulf of Mexico

EE Waddell, JH Rasmussen, A Širović
Journal of Marine Science and Engineering, 2021
ABSTACT:Passive acoustic monitoring is a method that is commonly used to collect long-term
data on soniferous animal presence and abundance. However, these large datasets
require substantial effort for manual analysis; therefore, automatic methods are a...

[HTML] Classification of flame extinction based on acoustic oscillations using artificial intelligence methods

YS Taspinar, M Koklu, M Altin
Case Studies in Thermal Engineering, 2021
ABSTACT:Fire, one of the most serious disasters threatening human life, is a chemical event
that can destroy forests, buildings, and machinery within minutes. For this reason,
there have been numerous methods developed to extinguish the fire. Within the...

[HTML] Artificial intelligence, public control, and supply of a vital commodity like COVID-19 vaccine

V Tsyganov
AI & SOCIETY, 2021
ABSTACT:The article examines the problem of ensuring the political stability of a democratic
social system with a shortage of a vital commodity (like vaccine against COVID-19).
In such a system, members of society citizens assess the authorities. Thus, actions by...

[HTML] Study on Smart Home Energy Management System Based on Artificial Intelligence

Y Ma, X Chen, L Wang, J Yang
Journal of Sensors, 2021
ABSTACT:With the increase of household electricity consumption and the introduction of
distributed new energy sources, more attention has been paid to the issue of
optimizing the cost of electricity purchase for household customers. An effective way...

[PDF] Analysis of Environmental Governance Expense Prediction Reform With the Background of Artificial Intelligence

X Wu
Journal of Organizational and End User Computing..., 2022
ABSTACT:Abstract In this paper, Artificial Intelligence assisted rule-based confidence metric (AI-
CRBM) framework has been introduced for analyzing environmental governance
expense prediction reform. A metric method is to assess a level of collective...

Artificial Intelligence Using the Eye as a Biomarker of Systemic Risk

RMWW Tseng, TH Rim, CY Cheung, TY Wong
Artificial Intelligence in..., 2021
ABSTACT:The eye is the sole organ in the body which allows for the direct observation and
imaging of the neurological and vascular system. In recent years, researchers have
harnessed the noninvasive nature of colour fundus photographs (CFPs) to examine...

[HTML] Automated analysis of ambulatory surgery patient experience comments using artificial intelligence for quality improvement: A patient centered approach

P Mathur, JB Cywinski, K Maheshwari, J Niezgoda...
Intelligence-Based Medicine, 2021
ABSTACT:Background Quality improvement in healthcare is limited by both the quality and
quantity of data available in the electronic health records or self reported by
clinicians. Appropriate and timely reporting can help identify opportunities for quality...

Artificial intelligence for early prediction of treatment response in glioblastoma

M Patel, J Zhan, K Natarajan, R Flintham, N Davies...
Neuro-Oncology, 2021
ABSTACT:Aims Treatment response assessment in glioblastoma is challenging. Patients
routinely undergo conventional magnetic resonance imaging (MRI), but it has a low
diagnostic accuracy for distinguishing between true progression (tPD) and...

[PDF] Impact of climate change on hydro-climatological parameters in North Cyprus: application of artificial intelligence-based statistical downscaling models

G Elkiran, V Nourani, O Elvis, J Abdullahi
Journal of Hydroinformatics, 2021
ABSTACT:There are many environmental challenges in water-limited places in the 21st century,
particularly in dry and semi-arid regions, due to the threat of climate change caused
by the greenhouse effect. This study intends to explore and assess the influence of...