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A Primer on Generative Artificial Intelligence

Faisal Kalota • Education Sciences (2024)

Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some ...

OPENALEX cc-by DOI: https://doi.org/10.3390/educsci14020172

Artificial intelligence in medical education

Ken Masters • Medical Teacher (2019)

Artificial intelligence (AI) is a growing phenomenon, and will soon facilitate wide-scale changes in many professions, including medical education. In order for medical educators to be properly prepared for AI, they will need to have at lea...

OPENALEX DOI: https://doi.org/10.1080/0142159x.2019.1595557

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence

Shuiguang Deng, Hailiang Zhao, Weijia Jia Fang, Jianwei Yin et al. • IEEE Internet of Things Journal (2020)

Along with the rapid developments in communication technologies and the surge in the use of mobile devices, a brand-new computation paradigm, edge computing, is surging in popularity. Meanwhile, the artificial intelligence (AI) applications...

OPENALEX Open Access DOI: https://doi.org/10.1109/jiot.2020.2984887

Generative artificial intelligence

Leonardo Banh, Gero Strobel • Electronic Markets (2023)

Abstract Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Lever...

OPENALEX cc-by DOI: https://doi.org/10.1007/s12525-023-00680-1

Artificial intelligence in recommender systems

Qian Zhang, Jie Lu B, Yaochu Jin • Complex & Intelligent Systems (2020)

Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intel...

OPENALEX cc-by DOI: https://doi.org/10.1007/s40747-020-00212-w

Patient information needs for transparent and trustworthy cardiovascular artificial intelligence: A qualitative study.

Austin M Stroud, Sarah A Minteer, Xuan Zhu, Jennifer L Ridgeway et al. • PLOS Digital Health (2025)

As health systems incorporate artificial intelligence (AI) into various aspects of patient care, there is growing interest in understanding how to ensure transparent and trustworthy implementation. However, little attention has been given t...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pdig.0000826

An Ensemble Machine Learning Model for Early Prediction of Vancomycin-Induced Acute Kidney Injury in ICU Patients

Faezeh Aghamirzaei, Ahmad Ali Abin, Farzaneh Futuhi • Archives of Academic Emergency Medicine (2025)

Introduction: Acute Kidney Injury (AKI) is a severe complication of vancomycin treatment due to its nephrotoxic effects. However, research on predicting AKI in this high-risk group remains limited. This study presents a stacking ensemble ma...

DOAJ Open Access (DOAJ) DOI: 10.22037/aaemj.v13i1.2560

AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders

Diego D. Díaz-Guerra, Marena de la C. Hernández-Lugo, Yunier Broche-Pérez, Carlos Ramos-Galarza et al. • Frontiers in Psychiatry (2025)

IntroductionEvaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificia...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2024.1516065

A Review of Fundamental Optimization Approaches and the Role of AI Enabling Technologies in Physical Layer Security

Mulugeta Kassaw Tefera, Zengwang Jin, Shengbing Zhang • Sensors (2022)

With the proliferation of 5G mobile networks within next-generation wireless communication, the design and optimization of 5G networks are progressing in the direction of improving the physical layer security (PLS) paradigm. This phenomenon...

DOAJ Open Access (DOAJ) DOI: 10.3390/s22093589

Artificial intelligence assisted 3D in the robotic urooncology? A systematic review and narrative synthesis of current applications, challenges and future directions

Bara Barakat, Bilal Al-Absi, Boris Hadaschik, Christian Rehme et al. • The Canadian Journal of Urology (2026)

Background: Artificial intelligence (AI)-assisted three-dimensional (3D) surgical platforms, integrated with augmented reality, have the potential to improve intraoperative anatomical recognition and provide surgeons with an immersive, dyna...

DOAJ Open Access (DOAJ) DOI: 10.32604/cju.2026.071284

Tachyon: Enhancing stacked models using Bayesian optimization for intrusion detection using different sampling approaches

T. Anitha Kumari, Sanket Mishra • Egyptian Informatics Journal (2024)

The integration of sensors in the monitoring of essential bodily measurements, air quality, and energy consumption in buildings demonstrates the importance of the Internet of Things (IoT) in everyday life. These security breaches are caused...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.eij.2024.100520

Optimized CNN-BiLSTM framework for reactive power management and voltage profile improvement in renewable energy based power grids

Lijo Jacob Varghese, Suma Sira Jacob, Jaisiva Selvaraj, Tefera Mekonnen Azerefegn • Scientific Reports (2025)

Abstract This article describes a method for improving power grid voltage profiles by more effectively regulating reactive power through the integration of hybrid renewable energy systems (HRES) in smart grids. The unpredictable nature of r...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-24751-9

Comparative Evaluation of Artificial Intelligence-Generated Physician-Level Educational Content in Diabetic Foot Ulcers: Quality, Guideline Concordance, and Clinical Reliability

Emrah Işıktekin, Erhan Hocaoğlu • Uludağ Üniversitesi Tıp Fakültesi Dergisi (2026)

The study aimed to evaluate the quality, clinical reliability, and guideline concordance of physician-level educational responses generated by artificial intelligence (AI) in diabetic foot ulcer management. A blinded, comparative analysis w...

DOAJ Open Access (DOAJ) DOI: 10.32708/uutfd.1949030

Convergence of Artificial Intelligence and Wearables in Strength Training and Performance Monitoring: A Scoping Review

Eleftherios Fyntikakis, Spyridon Plakias, Themistoklis Tsatalas, Minas A. Mina et al. • Applied Sciences (2026)

Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16073565

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

Artificial intelligence

Gheorghe D. Tecuci • Wiley Interdisciplinary Reviews Computational Statistics (2011)

Abstract Artificial intelligence (AI) is the Science and Engineering domain concerned with the theory and practice of developing systems that exhibit the characteristics we associate with intelligence in human behavior. Starting with a brie...

OPENALEX DOI: https://doi.org/10.1002/wics.200

Artificial intelligence

Kathleen McGrow • Nursing (2019)

Artificial intelligence (AI) is a transformational technology that will affect all healthcare providers. This article offers an overview of basic AI concepts and the role of nurses in embracing this technology in healthcare settings....

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1097/01.nurse.0000577716.57052.8d PMC: 6716553