Applications of computational chemistry, artificial intelligence, and machine learning in aquatic chemistry research
L He, L Bai, DD Dionysiou, Z Wei, R Spinney, C Chu...
Chemical Engineering..., 2021
ABSTACT:The ever-looming water pollution has caused waterborne diseases, destruction of
biodiversity, and unsafe potable water, resulting in millions of deaths every year.
Although mounting efforts were exerted to tackle these serious issues, one cannot...
[HTML] Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach
P Mikalef, K Conboy, J Krogstie
Industrial Marketing Management, 2021
ABSTACT:Over the past few decades research has predominantly focused on the technical
aspects and theoretical challenges of Artificial Intelligence (AI). With the deluge of
data and the increase in processing power, businesses are now facing the challenge...
Smart Materials Enabled with Artificial Intelligence for Healthcare Wearables
Y Zheng, N Tang, R Omar, Z Hu, T Duong, J Wang...
Advanced Functional..., 2021
ABSTACT:Contemporary medicine suffers from many shortcomings in terms of successful
disease diagnosis and treatment, both of which rely on detection capacity and timing.
The lack of effective, reliable, and affordable detection and real=E2=80=90time monitoring...
A Holistic Approach to the Design of Artificial Intelligence (AI) Education for K-12 Schools
TKF Chiu
TechTrends, 2021
ABSTACT:Artificial intelligence (AI) education in K-12 schools is currently very popular, but
educators and experts have found designing AI-related curricula a challenge. Few
studies have been conducted that can inform practitioners about how to design and...
Unraveling the capabilities that enable digital transformation: A data-driven methodology and the case of artificial intelligence
M Wu, DC Kozanoglu, C Min, Y Zhang
Advanced Engineering Informatics, 2021
ABSTACT:Digital transformation (DT) is prevalent in businesses today. However, current
studies to guide DT are mostly qualitative, resulting in a strong call for quantitative
evidence of exactly what DT is and the capabilities needed to enable it successfully...
What can artificial intelligence and machine learning tell us? A review of applications to equine biomechanical research
S Mouloodi, H Rahmanpanah, S Gohari, C Burvill...
Journal of the Mechanical..., 2021
ABSTACT:Artificial intelligence (AI) and machine learning (ML) are fascinating interdisciplinary
scientific domains where machines are provided with an approximation of human
intelligence. The conjecture is that machines are then able to learn from existing...
"Global" cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head...
R Piri, L Edenbrandt, M Larsson, O Enqvist, S Skovrup...
Journal of Nuclear..., 2021
ABSTACT:Background Artificial intelligence (AI) is known to provide effective means to
accelerate and facilitate clinical and research processes. So in this study it was
aimed to compare a AI-based method for cardiac segmentation in positron emission...
[HTML] Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing
WM Ashraf, Y Rafique, GM Uddin, F Riaz, M Asim...
Alexandria Engineering..., 2021
ABSTACT:The vibrations of bearings holding the high-speed shaft of a steam turbine are
critically controlled for the safe and reliable power generation at the power plants. In
this paper, two artificial intelligence (AI) process models, ie, artificial neural network...
[PDF] Governance of Artificial Intelligence in Water and Wastewater Management: The Case Study of Japan
T Takeda, J Kato, T Matsumura, T Murakami...
Hydrology, 2021
ABSTACT:The integration of artificial intelligence into various aspects of daily life is developing
at a rapid pace in Japan. Discussions to govern applications of artificial intelligence
to the field of social infrastructure are also critical and need to match the rapid pace...
[HTML] Neurosurgery and artificial intelligence
M Mofatteh
AIMS Neuroscience, 2021
ABSTACT:Neurosurgeons receive extensive and lengthy training to equip themselves with
various technical skills, and neurosurgery require a great deal of pre-, intra-and
postoperative clinical data collection, decision making, care and recovery. The last...
Impact of artificial intelligence on clinical radiography practice: Futuristic prospects in a low resource setting
AR Wuni, BO Botwe, TN Akudjedu
Radiography, 2021
ABSTACT:Objectives Current trends in clinical radiography practice include the integration of
artificial intelligence (AI) and related applications to improve patient care and
enhance research. However, in low resource countries there are unique barriers to...
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective
J Suri, S Agarwal, SK Gupta, A Puvvula, K Viskovic...
IEEE Journal of Biomedical..., 2021
ABSTACT:SARS-CoV-2 has infected over~ 165 million people worldwide causing Acute
Respiratory Distress Syndrome (ARDS) and has killed~ 3.4 million people. Artificial
Intelligence (AI) has shown to benefit in the biomedical image such as X...
Cost-Efficient Continuous Edge Learning for Artificial-Intelligence-of-Things (AIoT)
L Jia, Z Zhou, F Xu, H Jin
IEEE Internet of Things Journal, 2021
ABSTACT:The accelerating convergence of artificial intelligence (AI) and Internet-of-Things
(IoT) has sparked a recent wave of interest in Artificial-Intelligence-of-Things (AIoT).
By exploiting the novel paradigm of edge intelligence, emerging computational...
[HTML] Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies--Current Status and Next Steps
K Kartasalo, W Bulten, B Delahunt, PHC Chen...
European Urology Focus, 2021
ABSTACT:Diagnosis and Gleason grading of prostate cancer in biopsies are critical for the
clinical management of men with prostate cancer. Despite this, the high grading
variability among pathologists leads to the potential for under-and overtreatment...
[PDF] A Promising Approach: Artificial Intelligence Applied to Small Intestinal Bacterial Overgrowth (SIBO) Diagnosis Using Cluster Analysis
R Hao, L Zhang, J Liu, Y Liu, J Yi, X Liu
Diagnostics, 2021
ABSTACT:Small intestinal bacterial overgrowth (SIBO) is characterized by abnormal and
excessive amounts of bacteria in the small intestine. Since symptoms and lab tests
are non-specific, the diagnosis of SIBO is highly dependent on breath testing. There...
[HTML] Artificial intelligence-augmented, label-free molecular imaging method for tissue identification, cancer diagnosis, and cancer margin detection
J Li, J Liu, Y Wang, Y He, K Liu, R Raghunathan...
Biomedical Optics Express, 2021
ABSTACT:Label-free high-resolution molecular and cellular imaging strategies for
intraoperative use are much needed, but not yet available. To fill this void, we
developed an artificial intelligence-augmented molecular vibrational imaging method...
The effects of customer consumption goals on artificial intelligence driven recommendation agents: evidence from Stitch Fix
J Kim, S Kang, J Bae
International Journal of Advertising, 2021
ABSTACT:The purpose of this study is to investigate the influence of consumer goals on
artificial intelligence (AI) driven interactive recommendation agents (IRAs) and
examine the effects of consumers' consumption goals on their attitude toward IRAs...
An Artificial Intelligence Based Predictive Approach for Smart Waste Management
AB Jude, D Singh, S Islam, M Jameel, S Srivastava...
Wireless Personal..., 2021
ABSTACT:Waste management is one of the world's biggest challenges, either in the developed
or the emerging economies. The biggest problem with pollution is that the compost
heap is well flowed in public areas before the next sanitation period starts...
[PDF] AI models and the future of genomic research and medicine: True sons of knowledge? Artificial intelligence needs to be integrated with causal conceptions in...
H Konig, D Frank, M Baumann, R Heil
BioEssays, 2021
ABSTACT:The increasing availability of large-scale, complex data has made research into how
human genomes determine physiology in health and disease, as well as its
application to drug development and medicine, an attractive field for artificial ...
Rise of the Machines: Artificial Intelligence and the Clinical Laboratory
S Haymond, C McCudden
The Journal of Applied Laboratory Medicine, 2021
ABSTACT:Background Artificial intelligence (AI) is rapidly being developed and implemented to
augment and automate decision-making across healthcare systems. Being an
essential part of these systems, laboratories will see significant growth in AI...
