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Showing 20 of 3,336 academic articles

Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period

Hansong Zhu, Si Chen, Weixia Qin, Joldosh Aynur et al. • BMC Infectious Diseases (2024)

Abstract Objective At different times, public health faces various challenges and the degree of intervention measures varies. The research on the impact and prediction of meteorology factors on influenza is increasing gradually, however, th...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12879-024-09750-x

Artificial Intelligence for Lentigo Maligna: Automated Margin Assessment via Sox-10-Based Melanocyte Density Mapping

Rieke Löper, Lennart Abels, Daniel Otero Baguer, Felix Bremmer et al. • Dermatopathology (2025)

Lentigo maligna (LM) is a melanoma in situ with high cumulative sun damage. Histological evaluation of resection margins is difficult and time-consuming. Melanocyte density (MD) is a suitable, quantifiable, and reproducible diagnostic crite...

DOAJ Open Access (DOAJ) DOI: 10.3390/dermatopathology13010001

Consumers and Artificial Intelligence: An Experiential Perspective

Stefano Puntoni, Rebecca Walker Reczek, Markus Giesler, Simona Botti • Journal of Marketing (2020)

Artificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-ac...

OPENALEX Open Access DOI: https://doi.org/10.1177/0022242920953847

What is Artificial Intelligence?

Fabio Morandín-Ahuerma • International Journal of Research Publication and Reviews (2022)

Artificial intelligence (AI) is the ability of a machine or computer system to simulate and perform tasks that would normally require human intelligence, such as logical reasoning, learning, and problem solving. Artificial intelligence is b...

OPENALEX Open Access DOI: https://doi.org/10.55248/gengpi.2022.31261

Effect of robot-assisted gait training combined with electroacupuncture on lower limb motor function and brain network characteristics in stroke: an EEG study

Haiping Huang, Xinyi Su, Yuqian Zhang, Zhixi Liu et al. • Journal of NeuroEngineering and Rehabilitation (2025)

Abstract Background Stroke survivors often experience residual motor dysfunction in their limbs. Additional physical rehabilitation therapies may further improve patients’ functional outcomes. By combining direct interventions targeting the...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12984-025-01827-1

Scammer Participants and AI-Assisted Interviews in Qualitative Health Research: An Example From a Study of Expectant Parents With a Rare Genetic Condition

Gamze Kaplan, Shruti Garg, Ming Wai Wan, Debbie M. Smith • International Journal of Qualitative Methods (2025)

Online interviewing has allowed cost-effective data collection and access to diverse, geographically dispersed populations. However, these benefits come with significant risks to research integrity, particularly in terms of attracting poten...

DOAJ Open Access (DOAJ) DOI: 10.1177/16094069251390983

Biomaterial Engineering for Spatiotemporal Regulation of Exosome Functions: From Design Principles to Key Applications in Regenerative Medicine

Shan Long, Bo Wang, Shaodong Tian, Honglan Tang et al. • Pharmaceuticals (2026)

As natural nanoscale intercellular messengers, exosomes exhibit considerable potential in modulating inflammation, angiogenesis, immunoregulation, and tissue remodeling, making them attractive candidates for regenerative medicine. However, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/ph19050672

Conceptualisation de l'espace numérique dans l'enseignement-apprentissage des langues

France Lafleur • ALSIC: Apprentissage des Langues et Systèmes d'Information et de Communication (2023)

In this article on the conceptualization of the digital space in the teaching-learning of languages, our contribution to the "Architecture of the processes of production and reception" of language (François & Nespoulous, 2014), consists in ...

DOAJ Open Access (DOAJ) DOI: 10.4000/alsic.6783

Artificial intelligence in nanotechnology

G. M. Sacha, Pablo Varona • Nanotechnology (2013)

During the last decade there has been increasing use of artificial intelligence tools in nanotechnology research. In this paper we review some of these efforts in the context of interpreting scanning probe microscopy, the study of biologica...

OPENALEX Open Access DOI: https://doi.org/10.1088/0957-4484/24/45/452002

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

Smart_Eye: A Navigation and Obstacle Detection for Visually Impaired People through Smart App

Bhasha Pydala, T. Pavan Kumar, K. Khaja Baseer • Journal of Applied Engineering and Technological Science (2023)

Vision is extremely important in our lives. The loss of sight is a serious issue for anyone. According to the WHO, one-sixth of the world's population suffers from vision impairment. According to World Health Organization (WHO) statistics p...

DOAJ Open Access (DOAJ) DOI: 10.37385/jaets.v4i2.2013

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

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

Prediction of irinotecan toxicity in metastatic colorectal cancer patients based on machine learning models with pharmacokinetic parameters

Esther Oyaga-Iriarte, Asier Insausti, Onintza Sayar, Azucena Aldaz • Journal of Pharmacological Sciences (2019)

Irinotecan (CPT-11) is a drug used against a wide variety of tumors, which can cause severe toxicity, possibly leading to the delay or suspension of the cycle, with the consequent impact on the prognosis of survival. The main goal of this w...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jphs.2019.03.004