Artificial intelligence in safety-critical systems: a systematic review

Y Wang, SH Chung
Industrial Management & Data Systems, 2021
ABSTACT:Purpose This study is a systematic literature review of the application of artificial
intelligence (AI) in safety-critical systems. The authors aim to present the current
application status according to different AI techniques and propose some research...

[HTML] Towards Responsible Artificial Intelligence in Long-term Care: A Scoping Review on Practical Approaches

DRM Lukkien, HH Nap, HP Buimer, A Peine...
The Gerontologist, 2021
ABSTACT:Abstract Background and Objectives Artificial intelligence (AI) is widely positioned to
become a key element of intelligent technologies used in the long-term care (LTC)
for older adults. The increasing relevance and adoption of AI has encouraged debate...

[HTML] Application of Artificial Intelligence in Medicine: An Overview

P Liu, L Lu, J Zhang, T Huo, S Liu, Z Ye
Current Medical Science, 2021
ABSTACT:Artificial intelligence (AI) is a new technical discipline that uses computer technology
to research and develop the theory, method, technique, and application system for
the simulation, extension, and expansion of human intelligence. With the assistance...

[HTML] Human Judges in the Era of Artificial Intelligence: Challenges and Opportunities

Z Xu
Applied Artificial Intelligence, 2021
ABSTACT:In recent years, artificial intelligence technology has been widely used in the field of
justice. Compared with human judges, judicial artificial intelligence is more efficient,
experience and objective. But artificial intelligence has its limits. Artificial intelligence ...

[HTML] Artificial intelligence to predict in-hospital mortality using novel anatomical injury score

WS Kang, H Chung, H Ko, NY Kim, DW Kim, J Cho...
Scientific Reports, 2021
ABSTACT:The aim of the study is to develop artificial intelligence (AI) algorithm based on a
deep learning model to predict mortality using abbreviate injury score (AIS). The
performance of the conventional anatomic injury severity score (ISS) system in...

Artificial intelligence: A newer vista in dentistry

R Raveendran, S Perumbure, SG Nath
Artificial Organs, 2021
ABSTACT:Background Artificial intelligence (AI) is one of the newest fields in science and
engineering. It refers to the simulation of human intelligence in machines that are
programmed to think like humans and mimic their actions. Artificial intelligence as a...

[HTML] Impact of Artificial Intelligence on HR practices in the UAE

A Singh, A Shaurya
Humanities and Social Sciences Communications, 2021
ABSTACT:Social trends and information technology are creating pressure, resulting in
organizations being forced to update and recreate themselves. Against this backdrop
there is an increasing trend to adopt artificial intelligence technologies. This study...

Artificial intelligence algorithms to predict Italian real estate market prices

L Rampini, FR Cecconi
Journal of Property Investment & Finance, 2021
ABSTACT:Purpose The assessment of the Real Estate (RE) prices depends on multiple factors
that traditional evaluation methods often struggle to fully understand. Housing prices,
in particular, are the foundations for a better knowledge of the Built Environment and...

Improving the Quality of Care in Radiation Oncology using Artificial Intelligence

SMH Luk, EC Ford, MH Phillips, AM Kalet
Clinical Oncology, 2021
ABSTACT:Radiation therapy is a complex process involving multiple professionals and steps
from simulation to treatment planning to delivery, and these procedures are prone to
error. Additionally, the imaging and treatment delivery equipment in radiotherapy is...

[PDF] Segmentation of Bank Consumers for Artificial Intelligence Marketing

O Raiter
International Journal of Contemporary Financial Issues, 2021
ABSTACT:Banks can offer more personalized products and services by using segmentation
solutions. By gaining a deeper understanding of client characteristics, marketers can
Choose the appropriate promotional content to deliver, choose the right marketing...

[PDF] Artificial Intelligence and Machine Learning in Nuclear Physics

A Boehnlein, M Diefenthaler, C Fanelli...
arXiv preprint arXiv..., 2021
ABSTACT:Advances in artificial intelligence/machine learning methods provide tools that have
broad applicability in scientific research. These techniques are being applied across
the diversity of nuclear physics research topics, leading to advances that will facilitate...

Management of arrhythmias: the increasing role of artificial intelligence, genetics and cardiac resyncronization

F Crea
European Heart Journal, 2021
ABSTACT:Despite the fact that the electrocardiogram (ECG) has been in use for> 100 years
and is a central tool in clinical medicine, we are only now beginning to unleash its full
potential with the application of artificial intelligence (AI). 1-5 This Focus Issue on...

[HTML] Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients-The SaMi-Trop cohort

BOF Brito, ZI Attia, LNA Martins, P Perel, MCP Nunes...
PLOS Neglected Tropical..., 2021
ABSTACT:Background Left ventricular systolic dysfunction (LVSD) in Chagas disease (ChD) is
relatively common and its treatment using low-cost drugs can improve symptoms and
reduce mortality. Recently, an artificial intelligence (AI)-enabled ECG algorithm...

[HTML] SpinSPJ: a novel NMR scripting system to implement artificial intelligence and advanced applications

Z Liu, Z Chen, K Song
BMC bioinformatics, 2021
ABSTACT:Software for nuclear magnetic resonance (NMR) spectrometers offer general
functionality of instrument control and data processing; these applications are often
developed with non-scripting languages. NMR users need to flexibly integrate...

[HTML] Language, Speech, and Facial Expression Features for Artificial Intelligence-Based Detection of Cancer Survivors' Depression: Scoping Meta-Review

U Smrke, I Mlakar, S Lin, B Musil, N Plohl
JMIR Mental Health, 2021
ABSTACT:Background: Cancer survivors often experience disorders from the depressive
spectrum that remain largely unrecognized and overlooked. Even though screening
for depression is recognized as essential, several barriers prevent its successful...

[PDF] Marketing with Artificial Intelligence and Predicting Consumer Choice

N Shovo
Artificial Intelligence in Society, 2021
ABSTACT:Any company's ability to predict consumer behavior is critical to its success. To attain
this goal in artificial intelligence marketing, a variety of predictive analytic tools are
available, each with its own set of pros and limitations. This study project aims to...

[PDF] Artificial Intelligence for Text-Based Vehicle Search, Recognition, and Continuous Localization in Traffic Videos

K Panetta, L Kezebou, V Oludare, J Intriligator...
AI, 2021
ABSTACT:The concept of searching and localizing vehicles from live traffic videos based on
descriptive textual input has yet to be explored in the scholarly literature. Endowing
Intelligent Transportation Systems (ITS) with such a capability could help solve...

[HTML] Artificial Intelligence-Based Echocardiographic Left Atrial Volume Measurement with Pulmonary Vein Comparison

M Zhu, X Fan, W Liu, J Shen, W Chen, Y Xu, X Yu
Journal of Healthcare..., 2021
ABSTACT:This paper combines echocardiographic signal processing and artificial intelligence
technology to propose a deep neural network model adapted to echocardiographic
signals to achieve left atrial volume measurement and automatic assessment of...

[HTML] Molecular-based precision oncology clinical decision making augmented by artificial intelligence

J Zeng, MA Shufean
Emerging Topics in Life Sciences, 2021
ABSTACT:The rapid growth and decreasing cost of Next-generation sequencing (NGS)
technologies have made it possible to conduct routine large panel genomic
sequencing in many disease settings, especially in the oncology domain...

[HTML] Assessing the robustness of artificial intelligence powered planning tools in radiotherapy clinical settings——a phantom simulation approach

M Hito, W Wang, H Stephens, Y Xie, R Li, FF Yin, Y Ge...
Quantitative Imaging in..., 2021
ABSTACT:Background Artificial intelligence (AI) based radiotherapy treatment planning tools
have gained interest in automating the treatment planning process. It is essential to
understand their overall robustness in various clinical scenarios. This is an existing...