[PDF] MANAGING ARTIFICIAL INTELLIGENCE
N Berente, B Gu, J Recker, R Santhanam
MIS Quarterly, 2021
ABSTACT:Managing artificial intelligence (AI) marks the dawn of a new age of information
technology management. Managing AI involves communicating, leading,
coordinating, and controlling an ever-evolving frontier of computational...
Imaging and artificial intelligence for progression of age-related macular degeneration
K Romond, M Alam, S Kravets, L Sisternes, T Leng...
Experimental Biology and..., 2021
ABSTACT:Age-related macular degeneration (AMD) is a leading cause of severe vision loss.
With our aging population, it may affect 288 million people globally by the year 2040.
AMD progresses from an early and intermediate dry form to an advanced one, which...
[HTML] Technological advances in cancer immunity: from immunogenomics to single-cell analysis and artificial intelligence
Y Xu, GH Su, D Ma, Y Xiao, ZM Shao, YZ Jiang
Signal Transduction and Targeted..., 2021
ABSTACT:Immunotherapies play critical roles in cancer treatment. However, given that only a
few patients respond to immune checkpoint blockades and other immunotherapeutic
strategies, more novel technologies are needed to decipher the complicated...
Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design
H Lv, L Shi, JW Berkenpas, FY Dao, H Zulfiqar, H Ding...
Briefings in Bioinformatics, 2021
ABSTACT:The global pandemic of coronavirus disease 2019 (COVID-19), caused by severe
acute respiratory syndrome coronavirus 2, has led to a dramatic loss of human life
worldwide. Despite many efforts, the development of effective drugs and vaccines for...
The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
YYM Aung, DCS Wong, DSW Ting
British medical bulletin, 2021
ABSTACT:Introduction Artificial intelligence (AI) and machine learning (ML) are rapidly evolving
fields in various sectors, including healthcare. This article reviews AI's present
applications in healthcare, including its benefits, limitations and future scope...
[HTML] Diagnosis of Wilson Disease and Its Phenotypes by Using Artificial Intelligence
V Medici, A Czlonkowska, T Litwin, C Giulivi
Biomolecules, 2021
ABSTACT:WD is caused by ATP7B variants disrupting copper efflux resulting in excessive
copper accumulation mainly in liver and brain. The diagnosis of WD is challenged by
its variable clinical course, onset, morbidity, and ATP7B variant type. Currently it is...
[HTML] Artificial Intelligence for Health
A Celesti, I De Falco, A Galletta, G Sannino - 2021
NA
ABSTACT:Health is one of the major research topics that has been attracting cross-disciplinary
research groups. The deployment of new emerging ICT technologies for health,
especially based on artificial intelligence, computational intelligence, and the Internet...
Artificial intelligence in business curriculum: The pedagogy and learning outcomes
JJ Xu, T Babaian
The International Journal of Management Education, 2021
ABSTACT:Artificial intelligence is rapidly reshaping the technological landscape, becoming an
important component of work processes and decision-making in many domains.
However, AI education has yet to catch up with the challenge of introducing this...
Artificial Intelligence in the Public Sector-a Research Agenda
BW Wirtz, PF Langer, C Fenner
International Journal of Public Administration, 2021
ABSTACT:Artificial intelligence (AI) is becoming increasingly important for the public sector. As
the number of studies in this field increases, this study provides a systematic
overview of the current literature on AI in the public sector. Therefore, key findings...
Electronic personhood for artificial intelligence in the workplace
P Nowik
Computer Law & Security Review, 2021
ABSTACT:There are several legal and ethical problems associated with the far-reaching
integration of man with Artificial Intelligence (AI) within the framework of algorithmic
management. One of these problems is the question of the legal subjectivity of the...
[HTML] Demystifying artificial intelligence and deep learning in dentistry
JA Rodrigues, J Krois, F Schwendicke
Brazilian Oral Research, 2021
ABSTACT:Artificial intelligence (AI) is a general term used to describe the development of
computer systems which can perform tasks that normally require human cognition.
Machine learning (ML) is one subfield of AI, where computers learn rules from data...
Artificial intelligence simulation of water treatment using a novel bimodal micromesoporous nanocomposite
J Yang, Q Du, R Ma, A Khan
Journal of Molecular Liquids, 2021
ABSTACT:Molecular separation using nanostructured materials have attracted much attention
recently for various applications. Different classes of materials have been used
among which metal organic framework (MOF) and layered double hydroxide (LDH)...
Understanding knowledge hiding under technological turbulence caused by artificial intelligence and robotics
J Arias-Perez, J Velez-Jaramillo
Journal of Knowledge Management, 2021
ABSTACT:Purpose Artificial intelligence (AI) will be performing 52% of the tasks in companies
by 2025. The increasing adoption of AI is generating technological turbulence in the
business environment. Previous studies have also shown that employees are aware...
[PDF] Guest Editorial: Artificial Intelligence Empowered Future Connection
S Guo, H Yao, M Wu, S Shen, Y Yang, P Lorenz
IEEE Network, 2021
ABSTACT:Recently, artificial intelligence (AI) has seen great success in solving problems from
various domains. It is envisioned that AI and Machine Learning (ML) will be an
important technology for the successful development of future networks, especially in...
[PDF] Automatic Diagnosis of Bipolar Disorder Using Optical Coherence Tomography Data and Artificial Intelligence
EM Sanchez-Morla, JL Fuentes, JM Miguel-Jimenez...
Journal of Personalized..., 2021
ABSTACT:Background: The aim of this study is to explore an objective approach that aids the
diagnosis of bipolar disorder (BD), based on optical coherence tomography (OCT)
data which are analyzed using artificial intelligence. Methods: Structural analyses of...
[HTML] Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis
J Zhou, M Du, S Chang, Z Chen
Cardiovascular Ultrasound, 2021
ABSTACT:Ultrasound is one of the most important examinations for clinical diagnosis of
cardiovascular diseases. The speed of image movements driven by the frequency of
the beating heart is faster than that of other organs. This particularity of...
The Challenges and Emerging Technologies for Low-Power Artificial Intelligence IoT Systems
L Ye, Z Wang, Y Liu, P Chen, H Li, H Zhang, M Wu...
IEEE Transactions on..., 2021
ABSTACT:The Internet of Things (IoT) is an interface with the physical world that usually
operates in random-sparse-event (RSE) scenarios. This article discusses main
challenges of IoT chips: power consumption, power supply, artificial intelligence (AI)...
[HTML] Quantitative Assessment of Fundus Tessellated Density and Associated Factors in Fundus Images Using Artificial Intelligence
L Shao, QL Zhang, TF Long, L Dong, C Zhang...
Translational Vision Science..., 2021
ABSTACT:Purpose: This study aimed to quantitative assess the fundus tessellated density
(FTD) and associated factors on the basis of fundus photographs using artificial
intelligence. Methods: A detailed examination of 3468 individuals was performed...
Detection of hypertrophic cardiomyopathy by an artificial intelligence electrocardiogram in children and adolescents
KC Siontis, K Liu, JM Bos, ZI Attia, M Cohen-Shelly...
International Journal of..., 2021
ABSTACT:Background There is no established screening approach for hypertrophic
cardiomyopathy (HCM). We recently developed an artificial intelligence (AI) model
for the detection of HCM based on the 12-lead electrocardiogram (AI-ECG) in adults...
[PDF] Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
G Arora, J Joshi, RS Mandal, N Shrivastava, R Virmani...
Pathogens, 2021
ABSTACT:Abstract As of August 6th, 2021, the World Health Organization has notified 200.8
million laboratory-confirmed infections and 4.26 million deaths from COVID-19,
making it the worst pandemic since the 1918 flu. The main challenges in mitigating...