Leveraging advances in immunopathology and artificial intelligence to analyze in vitro tumor models in composition and space

MLT Ker, LW Shern, ZLW En, B Tan, LX Zhao...
Advanced Drug Delivery..., 2021
ABSTACT:Cancer is the leading cause of death worldwide. Unfortunately, efforts to understand
this disease are confounded by the complex, heterogenous tumor microenvironment
(TME). Better understanding of the TME could lead to novel diagnostic, prognostic...

[HTML] Bias in medical artificial intelligence

A AlHasan
The Bulletin of the Royal College of Surgeons of..., 2021
ABSTACT:This is an open-access article distributed under the terms of the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited … How human biases impact the …

[HTML] An artificial intelligence approach for selecting effective teacher communication strategies in autism education

V Lampos, J Mintz, X Qu
npj Science of Learning, 2021
ABSTACT:Effective inclusive education is key in promoting the long-term outcomes of children
with autism spectrum conditions (ASC). However, no concrete consensus exists to
guide teacher-student interactions in the classroom. In this work, we explore the...

[PDF] Applications of Artificial Intelligence for the Diagnosis of Gastrointestinal Diseases

S Pecere, SM Milluzzo, G Esposito, E Dilaghi, A Telese...
Diagnostics, 2021
ABSTACT:The development of convolutional neural networks has achieved impressive
advances of machine learning in recent years, leading to an increasing use of
artificial intelligence (AI) in the field of gastrointestinal (GI) diseases. AI networks...

Foundational Considerations for Artificial Intelligence Utilizing Ophthalmic Images

MD Abramoff, B Cunningham, B Patel, MB Eydelman...
Ophthalmology, 2021
ABSTACT:IMPORTANCE The development of Artificial Intelligence (AI) and other machine
diagnostic systems, also known as Software as a Medical Device (SaMD), and its
recent introduction into clinical practice, requires a deeply-rooted foundation in...

Survey on Artificial Intelligence (AI) Techniques for Vehicular Ad-Hoc Networks (VANETs)

A Mchergui, T Moulahi, S Zeadally
Vehicular Communications, 2021
ABSTACT:Advances in communications, smart transportation systems, and computer systems
have recently opened up vast possibilities of intelligent solutions for traffic safety,
convenience, and effectiveness. Artificial Intelligence (AI) is currently being used in...

[HTML] Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence

C Anderson, Z Bekele, Y Qiu, D Tschannen, ID Dinov
BMC Medical Informatics and..., 2021
ABSTACT:Hospital-acquired pressure injuries (PIs) induce significant patient suffering, inflate
healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed-
immobility, sensory impairment, bed positioning, and length of hospital stay. In this...

An Insight into Artificial Intelligence in Drug Discovery: An Interview with Professor Gisbert Schneider

G Schneider
Expert Opinion on Drug Discovery, 2021
ABSTACT:As part of our special focus issue on artificial intelligence in drug discovery, we are
delighted to interview Gisbert Schneider of ETH Zurich, Switzerland who shares his
background and experience in the field of drug discovery and his outlook for the...

Artificial Intelligence in Quantitative Ultrasound Imaging: A Survey

B Zhou, X Yang, WJ Curran, T Liu
Journal of Ultrasound in Medicine, 2021
ABSTACT:Quantitative ultrasound (QUS) imaging is a safe, reliable, inexpensive, and real-time
technique to extract physically descriptive parameters for assessing pathologies.
Compared with other major imaging modalities such as computed tomography and...

The diagnostic and prognostic value of artificial intelligence and artificial neural networks in spinal surgery: a narrative review

JM McDonnell, SR Evans, L McCarthy, H Temperley...
The Bone & Joint Journal, 2021
ABSTACT:In recent years, machine learning (ML) and artificial neural networks (ANNs), a
particular subset of ML, have been adopted by various areas of healthcare. A
number of diagnostic and prognostic algorithms have been designed and...

[PDF] When is Psychology Research Useful in Artificial Intelligence? A Case for Reducing Computational Complexity in Problem Solving

S Helie, Z Pizlo
Topics in Cognitive Science, 2021
ABSTACT:A problem is a situation in which an agent seeks to attain a given goal without
knowing how to achieve it. Human problem solving is typically studied as a search in
a problem space composed of states (information about the environment) and...

[HTML] Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective

S Schalekamp, WM Klein, KG van Leeuwen
Pediatric Radiology, 2021
ABSTACT:Artificial intelligence (AI) applications for chest radiography and chest CT are among
the most developed applications in radiology. More than 40 certified AI products are
available for chest radiography or chest CT. These AI products cover a wide range of...

Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis

JW Goodell, S Kumar, WM Lim, D Pattnaik
Journal of Behavioral and Experimental..., 2021
ABSTACT:Artificial intelligence (AI) and machine learning (ML) are two related technologies
that are emergent in financial scholarship. However, no review, to date, has offered a
wholistic retrospection of this research. To address this gap, we provide an overview...

Applications of artificial intelligence and machine learning within supply chains: systematic review and future research directions

H Younis, B Sundarakani, M Alsharairi
Journal of Modelling in Management, 2021
ABSTACT:Purpose The purpose of this study is to investigate how artificial intelligence (AI), as
well as machine learning (ML) techniques, are being applied and implemented
within supply chains (SC) and to develop future research directions from thereof...

[HTML] Artificial intelligence for MRI diagnosis of joints: a scoping review of the current state-of-the-art of deep learning-based approaches

B Fritz, J Fritz
Skeletal Radiology, 2021
ABSTACT:Deep learning-based MRI diagnosis of internal joint derangement is an emerging
field of artificial intelligence, which offers many exciting possibilities for
musculoskeletal radiology. A variety of investigational deep learning algorithms have...

Functional motion detection based on artificial intelligence

L Huang, G Liu
The Journal of Supercomputing, 2021
ABSTACT:Sports injuries can be a major problem for athletes. Therefore, sports injury
protection has become a key focus of attention in sports and medical circles. With
widening participation in sport, related injuries can have an impact at national level...

[HTML] Navigating into the Chemical Space of Monoamine Oxidase Inhibitors by Artificial Intelligence and Cheminformatics Approach

S Kumar, AS Nair, V Bhashkar, ST Sudevan...
ACS Omega, 2021
ABSTACT:The monoamine oxidase (MAO) enzyme class is a prevalent target for many
neurodegenerative and depressive disorders. Even though scrutinization of many
promising drugs for the treatment of MAO inhibition has been carried out in recent...

Historic opportunity: artificial intelligence interventions in COVID-19 and other unknown diseases

H Xiao, L Zhou, L Liu, X Li, J Ma
Acta Biochimica et Biophysica Sinica, 2021
ABSTACT:Coronavirus disease 2019 (COVID-19) is a pandemic afflicting more than 200 million
people around the world from its outbreak in 2019, with no sign of ending in the
foreseeable future. Although several types of vaccines have been developed using...

Case Study 11, Mainland China: The Impact of Pronunciation and Accents in Artificial Intelligence Speech Evaluation Systems

B Zou, S Liviero, K Wei, L Sun, Y Qi, X Yang, J Fu
Language Learning with..., 2021
ABSTACT:Artificial Intelligence (AI), defined as \computer systems designed to interact with the
world through capabilities and intelligent behaviors that are essentially
human(Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. 2016). Intelligence...

An Information Fusion Approach to Intelligent Traffic Signal Control Using the Joint Methods of Multiagent Reinforcement Learning and Artificial Intelligence of Things

X Yang, Y Xu, L Kuang, Z Wang, H Gao, X Wang
IEEE Transactions on Intelligent..., 2021
ABSTACT:With the development of communication technology and artificial intelligence of
things (AIoT), transportation systems have become much smarter than ever before.
However, the volume of vehicles and traffic flows have rapidly increased. Optimizing...