[HTML] Artificial intelligence for search and discovery of quantum materials
V Stanev, K Choudhary, AG Kusne, J Paglione...
Communications Materials, 2021
ABSTACT:Artificial intelligence and machine learning are becoming indispensable tools in
many areas of physics, including astrophysics, particle physics, and climate science.
In the arena of quantum materials, the rise of new experimental and computational...
Public Perceptions on Artificial Intelligence Driven Disaster Management: Evidence from Sydney, Melbourne and Brisbane
N Kankanamge, T Yigitcanlar, A Goonetilleke
Telematics and Informatics, 2021
ABSTACT:In recent years, artificial intelligence (AI) is being increasingly utilised in disaster
management activities. The public is engaged with AI in various ways in these
activities. For instance, crowdsourcing applications developed for disaster...
Exploring Artificial Intelligence in Drug Discovery: A Comprehensive Review
RK Bijral, I Singh, J Manhas, V Sharma
Archives of Computational Methods in..., 2021
ABSTACT:Drug discovery and development process is very lengthy, highly expensive and
extremely complex in nature. Traditional methods involve expensive techniques and
take many years to bring a new drug to the market. With the advent of new tools and...
[HTML] A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence
A Martinho, M Kroesen, C Chorus
Artificial Intelligence in Medicine, 2021
ABSTACT:Artificial Intelligence (AI) is moving towards the health space. It is generally
acknowledged that while there is great promise in the implementation of AI
technologies in healthcare, it also raises important ethical issues. In this study we...
Artificial Intelligence for Interstitial Lung Disease: Proudly Supporting Radiologists Since 2021
MO Wielputz - 2021
NA
ABSTACT:Dr Mark O. Wielputz is a professor in the Department of Diagnostic and Interventional
Radiology at the Heidelberg University Medical Center. His research interest is
focused on quantitative chest MRI and CT in chronic lung diseases. As a member of...
[HTML] Human, All Too Human? An All-Around Appraisal of the \Artificial Intelligence Revolution\ in Medical Imaging
F Coppola, L Faggioni, M Gabelloni, F De Vietro...
Frontiers in Psychology, 2021
ABSTACT:Artificial intelligence (AI) has seen dramatic growth over the past decade, evolving
from a niche super specialty computer application into a powerful tool which has
revolutionized many areas of our professional and daily lives, and the potential of...
[PDF] Artificial Intelligence in Electric Machine Drives: Advances and Trends
S Zhang
arXiv preprint arXiv:2110.05403, 2021
ABSTACT:This review paper systematically summarizes the existing literature on applying
classical AI techniques and advanced deep learning algorithms to electric machine
drives. It is anticipated that with the rapid progress in deep learning models and...
Artificial intelligence in paediatric radiology: international survey of health care professionals' opinions
SC Shelmerdine, K Rosendahl, OJ Arthurs
Pediatric Radiology, 2021
ABSTACT:Background The nature of paediatric radiology work poses several challenges for
developing and implementing artificial intelligence (AI) tools, but opinions of those
working in the field are currently unknown. Objective To evaluate the attitudes and...
[HTML] Artificial intelligence in Barrett's Esophagus
N Hamade, P Sharma
Therapeutic Advances in Gastrointestinal Endoscopy, 2021
ABSTACT:Despite advances in endoscopic imaging modalities, there are still significant miss
rates of dysplasia and cancer in Barrett's esophagus. Artificial intelligence (AI) is a
promising tool that may potentially be a useful adjunct to the endoscopist in detecting...
Explainable Artificial Intelligence for Predictive Maintenance Applications using a Local Surrogate Model
A Torcianti, S Matzka
...4th International Conference on Artificial Intelligence..., 2021
ABSTACT:This paper provides an explanatory interface using Local Interpretable Model-
agnostic Explanations (LIME) for a predictive maintenance dataset. The explanations
are evaluated and the explanatory quality of the model is compared to two previous...
[PDF] Artificial Intelligence Identifies an Urgent Need for Peripheral Vascular Intervention by Multiplexing Standard Clinical Parameters
K Sonnenschein, SD Stojanovic, N Dickel, J Fiedler...
Biomedicines, 2021
ABSTACT:Background: Peripheral artery disease (PAD) is a significant burden, particularly
among patients with severe disease requiring invasive treatment. We applied a
general Machine Learning (ML) workflow and investigated if a multi-dimensional...
Autonomous Artificial Intelligence Safety and Trust
MD Abramoff
Artificial Intelligence in Ophthalmology, 2021
ABSTACT:Abstract Artificial Intelligence, or Augmented Intelligence (AI), is the term for systems
capable of making decisions of high cognitive complexity. In health-care,
Autonomous AI systems are those AI sys-tems that make clinical decisions without...
[HTML] Energy-Efficient Unmanned Aerial Vehicle (UAV) Surveillance Utilizing Artificial Intelligence (AI)
HT Do, LH Truong, MT Nguyen, CF Chien, HT Tran...
...and Mobile Computing, 2021
ABSTACT:Recently, unmanned aerial vehicles (UAVs) enhance connectivity and accessibility
for civilian and military applications. A group of UAVs with on-board cameras usually
monitors or collects information about designated areas. The UAVs can build a...
Artificial Intelligence has Similar Performance to Subjective Assessment of Emphysema Severity on Chest CT
S Ebrahimian, S Digumarthy, B Bizzo, A Primak...
Academic Radiology, 2021
ABSTACT:Rationale and Objectives To compare an artificial intelligence (AI)-based prototype
and subjective grading for predicting disease severity in patients with emphysema.
Methods Our IRB approved HIPAA-compliant study included 113 adults (71=C2=B18 years;...
An Artificial Intelligence-Based Prediction Model for Optimum Design Variables of Reinforced Concrete Retaining Walls
M Yucel, G Bekdas, SM Nigdeli, AE Kayabekir
International Journal of..., 2021
ABSTACT:In this study, a hybrid method was developed to predict optimum dimensions of
reinforced concrete (RC) cantilever-type retaining walls. The metaheuristic-based
optimization process of RC retaining walls needs iterative analysis, including the...
[HTML] Do People Favor Artificial Intelligence Over Physicians? A Survey Among the General Population and Their View on Artificial Intelligence in Medicine
D Yakar, YP Ongena, TC Kwee, M Haan
Value in Health, 2021
ABSTACT:Objectives To investigate the general population's view on artificial intelligence (AI)
in medicine with specific emphasis on 3 areas that have experienced major progress
in AI research in the past few years, namely radiology, robotic surgery, and...
[HTML] College English Smart Classroom Teaching Model Based on Artificial Intelligence Technology in Mobile Information Systems
X Zhang, L Chen
Mobile Information Systems, 2021
ABSTACT:With the development of mobile information, artificial intelligence technology has
developed rapidly, which is changing everything in our life. Meanwhile, smart
education appeared and attracted much attention; however, there is still a lack of...
Artificial Intelligence in Cataract Surgery Training
N Alnafisee, S Zafar, K Park, SS Vedula, S Sikder
Artificial Intelligence in..., 2021
ABSTACT:Surgery is a major source of error in patient care. Preventing complications from
surgical errors in the general operating room is estimated to lead to the reduction of
up to 41,846 readmissions and save $620.3 million per year. It has been established...
Economics of Artificial Intelligence in Cybersecurity
N Kshetri
IT Professional, 2021
ABSTACT:Artificial intelligence (AI) and machine learning (ML) are increasingly being used for
strengthening cybersecurity. According to market research firm Research and
Markets, AI in cybersecurity market was $8.6 billion in 2019, which will each $101.8...
Artificial Intelligence for Radio Communication Context-Awareness
M Wasilewska, A Kliks, H Bogucka, K Cichon...
IEEE Access, 2021
ABSTACT:This paper surveys Artificial Intelligence (AI) methods for acquiring and managing
context-of-operation awareness of radio communication nodes, links, and networks.
The meaning and significance of context information and suitability of Machine...
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