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Artificial intelligence and echocardiography

Maryam Alsharqi, William J. Woodward, J. A. Mumith, D. C. Markham et al. • Echo Research and Practice (2018)

Echocardiography plays a crucial role in the diagnosis and management of cardiovascular disease. However, interpretation remains largely reliant on the subjective expertise of the operator. As a result inter-operator variability and experie...

OPENALEX cc-by DOI: https://doi.org/10.1530/erp-18-0056 PMC: 6280250

On the practical aspects of machine learning based active power loss forecasting in transmission networks

Franko Pandžić, Ivan Sudić, Tomislav Capuder, Ivan Pavičić • IET Generation, Transmission & Distribution (2024)

Abstract The cost for covering active power losses makes a significant item in transmission system operators (TSO) annual budgets, and still it received limited attention in the existing literature. The focus of accurate power loss forecast...

DOAJ Open Access (DOAJ) DOI: 10.1049/gtd2.13205

The ethics of artificial intelligence

Nick Bostrom, Eliezer Yudkowsky • Cambridge University Press eBooks (2014)

This chapter surveys some of the ethical challenges that may arise as one can create artificial intelligences (AI) of various kinds and degrees. Some challenges of machine ethics are much like many other challenges involved in designing mac...

OPENALEX DOI: https://doi.org/10.1017/cbo9781139046855.020

The Impact of Artificial Intelligence on Innovation

Iain Cockburn, Rebecca M. Henderson, Scott Stern • National Bureau of Economic Research (2018)

Artificial intelligence may greatly increase the efficiency of the existing economy.But it may have an even larger impact by serving as a new general-purpose "method of invention" that can reshape the nature of the innovation process and th...

OPENALEX public-domain DOI: https://doi.org/10.3386/w24449

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

Cobdock: an accurate and practical machine learning-based consensus blind docking method

Sadettin Y. Ugurlu, David McDonald, Huangshu Lei, Alan M. Jones et al. • Journal of Cheminformatics (2024)

Abstract Probing the surface of proteins to predict the binding site and binding affinity for a given small molecule is a critical but challenging task in drug discovery. Blind docking addresses this issue by performing docking on binding r...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13321-023-00793-x

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

Identification of Aspergillus at section and species levels by artificial intelligence-based microscopic morphology image recognition

Meng Tan, Zhe Guo, Yanyi Wang, Xinyi Xu et al. • Journal of Clinical Microbiology (2026)

ABSTRACT Rapid and accurate identification of Aspergillus species in clinical microbiology laboratories is crucial for aspergillosis diagnosis and antifungal therapy. However, traditional methods still face challenges in distinguishing phyl...

DOAJ Open Access (DOAJ) DOI: 10.1128/jcm.00012-26

Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Matthias Jung, Hanna Rieder, Marco Reisert, Susanne Rospleszcz et al. • Journal of Cachexia, Sarcopenia and Muscle (2024)

Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...

DOAJ Open Access (DOAJ) DOI: 10.1002/jcsm.13527

Enhancing Online Security: A Novel Machine Learning Framework for Robust Detection of Known and Unknown Malicious URLs

Shiyun Li, Omar Dib • Journal of Theoretical and Applied Electronic Commerce Research (2024)

The rapid expansion of the internet has led to a corresponding surge in malicious online activities, posing significant threats to users and organizations. Cybercriminals exploit malicious uniform resource locators (URLs) to disseminate har...

DOAJ Open Access (DOAJ) DOI: 10.3390/jtaer19040141

Artificial Intelligence in Cardiology

Kipp W. Johnson, Jessica Torres Soto, Benjamin Scott Glicksberg, Khader Shameer et al. • Journal of the American College of Cardiology (2018)

Artificial intelligence and machine learning are poised to influence nearly every aspect of the human condition, and cardiology is not an exception to this trend. This paper provides a guide for clinicians on relevant aspects of artificial ...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.jacc.2018.03.521

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

Accidental injustice: Healthcare AI legal responsibility must be prospectively planned prior to its adoption

Kit Fotheringham, Helen Smith • Future Healthcare Journal (2024)

This article contributes to the ongoing debate about legal liability and responsibility for patient harm in scenarios where artificial intelligence (AI) is used in healthcare.We note that due to the structure of negligence liability in Engl...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.fhj.2024.100181

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