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From Promise to Peril: generative artificial intelligence's potential to deepen educational inequalities in geographically diverse contexts

Ben Archer • Artificial Intelligence in Education (2026)

PurposeThis study critically examines how van Dijk's Digital Divide Theory applies to generative artificial intelligence (GenAI) access in regional, remote and rural (RRR) educational contexts. It interrogates whether a framework designed f...

DOAJ Open Access (DOAJ) DOI: 10.1108/AIIE-07-2025-0199

Cost-effective, open-source, automated apparatus for testing transitive inference in mice

Silvia Margarian, Yihan Chen, Jumana Waheed, Parham Rezaeimanesh et al. • Scientific Reports (2026)

Abstract Transitive inference is a form of reasoning that relies on prior knowledge and benefits survival in diverse species. While initially designed for humans, the transitive inference task has been adapted for mice, allowing for integra...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-43430-x

How can gender be identified from heart rate data? Evaluation using ALLSTAR heart rate variability big data analysis

Itaru Kaneko, Junichiro Hayano, Emi Yuda • BMC Research Notes (2023)

Abstract Objective A small electrocardiograph and Holter electrocardiograph can record an electrocardiogram for 24 h or more. We examined whether gender could be verified from such an electrocardiogram and, if possible, how accurate it woul...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13104-022-06270-2

Projects Distribution Algorithms for Regional Development

Mahdi Jemmali • Advances in Distributed Computing and Artificial Intelligence Journal (2021)

This paper aims to find an efficient method to assign different projects to several regions seeking an equitable distribution of the expected revenue of projects. The solutions to this problem are discussed in this paper. This problem is NP...

DOAJ Open Access (DOAJ) DOI: 10.14201/ADCAIJ2021103293305

Membrane surface wettability and roughness under operating conditions and their implications for membrane performance

Rawda Serag, M. Bassyouni, Fathy Shokry, Monica Toderaș et al. • Desalination and Water Treatment (2026)

Membrane wettability is an important factor influencing separation efficiency, fouling resistance, water flux, and durability. Although membrane wetting has been extensively studied, few reviews have quantitatively examined the relationship...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dwt.2026.101951

Is cardiovascular risk profiling from UK Biobank retinal images using explicit deep learning estimates of traditional risk factors equivalent to actual risk measurements? A prospective cohort study design

Kohji Nishida, Ryo Kawasaki, Yiming Qian, Liangzhi Li et al. • BMJ Open (2024)

Objective Despite extensive exploration of potential biomarkers of cardiovascular diseases (CVDs) derived from retinal images, it remains unclear how retinal images contribute to CVD risk profiling and how the results can inform lifestyle m...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2023-078609

Frontiers in Artificial Intelligence and Applications

Jaya Yadav, Shruti Shukla, Kanika Sharma, Nupur Soni et al. • International Conference on Computation, Automation and Knowledge Management (ICCAKM) (2022)

The industrial revolution has been the main cause ever since tremendous technological advancement was observed. The ubiquitous deployment of recent information and communication technologies (ICT), namely Artificial Intelligence (AI), Inter...

OPENALEX DOI: https://doi.org/10.1109/iccakm54721.2022.9990098

Artificial intelligence in oncology

Hideyuki Shimizu, Keiichi I. Nakayama • Cancer Science (2020)

Artificial intelligence (AI) has contributed substantially to the resolution of a variety of biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI that is highly flexible and supports automatic feature...

OPENALEX cc-by-nc DOI: https://doi.org/10.1111/cas.14377 PMC: 7226189

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

Stone, Peter, Rodney A. Brooks, Erik Brynjolfsson, Ryan Calo et al. • arXiv (Cornell University) (2022)

In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society. It was written...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2211.06318

Artificial intelligence in retina

Ursula Margarethe Schmidt-Erfurth, Amir Sadeghipour, Bianca S. Gerendas, Sebastian M. Waldstein et al. • Progress in Retinal and Eye Research (2018)

Major advances in diagnostic technologies are offering unprecedented insight into the condition of the retina and beyond ocular disease. Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.preteyeres.2018.07.004

Artificial Intelligence with Uncertainty

Deyi Li, Yi Du • Chapman & Hall/CRC eBooks (2007)

The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter ...

OPENALEX DOI: https://doi.org/10.1201/9781584889991

Artificial Intelligence

Jerry Kaplan (2016)

Abstract Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it ...

OPENALEX DOI: https://doi.org/10.1093/wentk/9780190602383.001.0001