Explaining artificial intelligence with visual analytics in healthcare

J Ooge, G Stiglic, K Verbert
Wiley Interdisciplinary Reviews: Data Mining and..., 2021
ABSTACT:To make predictions and explore large datasets, healthcare is increasingly applying
advanced algorithms of artificial intelligence. However, to make well-considered and
trustworthy decisions, healthcare professionals require ways to gain insights in these...

[PDF] Weighing the Milky Way and Andromeda with Artificial Intelligence

P Villanueva-Domingo, F Villaescusa-Navarro, S Genel...
arXiv preprint arXiv..., 2021
ABSTACT:We present new constraints on the masses of the halos hosting the Milky Way and
Andromeda galaxies derived using graph neural networks. Our models, trained on
thousands of state-of-the-art hydrodynamic simulations of the CAMELS project, only...

Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging

F Calivà, NK Namiri, M Dubreuil, V Pedoia, E Ozhinsky...
Nature Reviews..., 2021
ABSTACT:The 3D nature and soft-tissue contrast of MRI makes it an invaluable tool for
osteoarthritis research, by facilitating the elucidation of disease pathogenesis and
progression. The recent increasing employment of MRI has certainly been stimulated...

[HTML] Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review

K Seibert, D Domhoff, D Bruch, M Schulte-Althoff...
Journal of Medical Internet..., 2021
ABSTACT:Background: Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from
direct patient interaction, such as documentation processes. There has been an...

A survey on artificial intelligence techniques for chronic diseases: open issues and challenges

K Patel, C Mistry, D Mehta, U Thakker, S Tanwar...
Artificial Intelligence Review, 2021
ABSTACT:Artificial Intelligence (AI) has given significant solutions to the healthcare domain for
analyzing various chronic diseases. With the advent of high-end systems, ie,
Graphics Processing Units, AI widespread the healthcare domain, where human...

[PDF] Artificial Intelligence in Railway Transport: Taxonomy, Regulations and Applications

N Besinovic, L De Donato, F Flammini, RMP Goverde...
IEEE Transactions on..., 2021
ABSTACT:Artificial Intelligence (AI) is becoming pervasive in most engineering domains, and
railway transport is no exception. However, due to the plethora of different new terms
and meanings associated with them, there is a risk that railway practitioners, as...

[HTML] Automatic detection of mesiodens on panoramic radiographs using artificial intelligence

EG Ha, KJ Jeon, YH Kim, JY Kim, SS Han
Scientific Reports, 2021
ABSTACT:This study aimed to develop an artificial intelligence model that can detect
mesiodens on panoramic radiographs of various dentition groups. Panoramic
radiographs of 612 patients were used for training. A convolutional neural network...

Exploring the roles of artificial intelligence in surgical education: A scoping review

E Bilgic, A Gorgy, A Yang, M Cwintal, H Ranjbar...
The American Journal of..., 2021
ABSTACT:Background Technology-enhanced teaching and learning, including Artificial
Intelligence (AI) applications, has started to evolve in surgical education. Hence, the
purpose of this scoping review is to explore the current and future roles of AI in...

Insights into artificial intelligence in clinical oncology: opportunities and challenges

K Chen, H Li, Z Pan, Z Wu, E Song
Science China Life Sciences, 2021
ABSTACT:Cancer continues to be a major public health issue worldwide. Given the complexity
of the etiology and pathophysiology of cancer, challenges always exist at every step
of cancer management, including early screening, diagnosis, treatment selection...

[HTML] Moving Towards Induced Pluripotent Stem Cell-based Therapies with Artificial Intelligence and Machine Learning

C Coronnello, MG Francipane
Stem Cell Reviews and Reports, 2021
ABSTACT:The advent of induced pluripotent stem cell (iPSC) technology, which allows to
transform one cell type into another, holds the promise to produce therapeutic cells
and organs on demand. Realization of this objective is contingent on the ability to...

Artificial Intelligence Based Techniques for the Detection of Socio-Behavioral Disorders: A Systematic Review

M Mengi, D Malhotra
Archives of Computational Methods in Engineering, 2021
ABSTACT:In new era of emerging technologies, diagnosing the neurodevelopmental disorders
at the primitive stage has led to a rise in the development of automated diagnostic
systems. Socio-behavioral disorder (SBD), a subtype of NDDs, being amongst the...

[HTML] Creating a training set for artificial intelligence from initial segmentations of airways

I Dudurych, A Garcia-Uceda, Z Saghir, HAWM Tiddens...
European radiology..., 2021
ABSTACT:Airways segmentation is important for research about pulmonary disease but require
a large amount of time by trained specialists. We used an openly available software
to improve airways segmentations obtained from an artificial intelligence (AI) tool and...

Artificial intelligence in the prediction of protein-ligand interactions: recent advances and future directions

A Dhakal, C McKay, JJ Tanner, J Cheng
Briefings in Bioinformatics, 2021
ABSTACT:New drug production, from target identification to marketing approval, takes over 12
years and can cost around $2.6 billion. Furthermore, the COVID-19 pandemic has
unveiled the urgent need for more powerful computational methods for drug...

[HTML] How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying...

L Bakker, J Aarts, C Uyl-de Groot, K Redekop
BMC Medical Informatics and Decision..., 2021
ABSTACT:Much has been invested in big data and artificial intelligence-based solutions for
healthcare. However, few applications have been implemented in clinical practice.
Early economic evaluations can help to improve decision-making by developers of...

What is needed for artificial intelligence to be trusted?

PA Pellikka, I Hamza, RE Carter
The American Journal of Medicine, 2021
ABSTACT:Artificial intelligence (AI) offers significant opportunities to improve healthcare,
permitting rapid and accurate diagnostic image interpretation, aiding patient outcome
predictions and reducing medical errors 1. However, for AI to be fully adopted in the...

Artificial intelligence (AI)-assisted exome reanalysis greatly aids in the identification of new positive cases and reduces analysis time in a clinical diagnostic laboratory

TD O'Brien, NE Campbell, AB Potter, JH Letaw...
Genetics in Medicine, 2021
ABSTACT:Purpose Artificial intelligence (AI) and variant prioritization tools for genomic variant
analysis are being rapidly developed for use in clinical diagnostic testing. However,
their clinical utility and reliability are currently limited. Therefore, we performed a...

[HTML] A fully automatic artificial intelligence-based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary...

C Yan, L Wang, J Lin, J Xu, T Zhang, J Qi, X Li, W Ni...
European Radiology, 2021
ABSTACT:Objectives An accurate and rapid diagnosis is crucial for the appropriate treatment of
pulmonary tuberculosis (TB). This study aims to develop an artificial intelligence (AI)-
based fully automated CT image analysis system for detection, diagnosis, and...

Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis

N Kaushal, RPS Kaurav, B Sivathanu, N Kaushik
Management Review Quarterly, 2021
ABSTACT:The present research aims to identify significant contributors, recent dynamics,
domains and advocates for future study directions in the arena of integration of
Artificial Intelligence (AI) with Human Resource Management (HRM), in the context of...

[HTML] Exploration on the Teaching Reform Measure for Machine Learning Course System of Artificial Intelligence Specialty

Y Jiang, B Li
Scientific Programming, 2021
ABSTACT:Due to the particularity of the artificial intelligence major and the machine learning
courses learned, the traditional course teaching model is not suitable for artificial
intelligence major machine learning courses. Based on this background, this article...

[HTML] Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

L Xu, L Sanders, K Li, JCL Chow
JMIR cancer, 2021
ABSTACT:Background: Chatbot is a timely topic applied in various fields, including medicine
and health care, for human-like knowledge transfer and communication. Machine
learning, a subset of artificial intelligence, has been proven particularly applicable in...