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AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction

Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang • JMIR Medical Informatics (2025)

This viewpoint article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning with multimodal clinical data, including lung imaging, pulmonary function...

DOAJ Open Access (DOAJ) DOI: 10.2196/73995

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

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

Molecular biology and integrated strategies for activating cryptic biosynthetic gene clusters toward next-generation antibiotic discovery

Veilumuthu Pattapulavar, Sathiyabama Ramanujam, Avanthi Yellampalli, Henu Sree Badiginchala et al. • Frontiers in Bioinformatics (2026)

Antimicrobial resistance (AMR) has been identified as one of the 21st century’s severest global public health crises. AMR led to an estimated 4.95 million deaths in 2019 and will claim 10 million lives a year by 2050 in the absence of targe...

DOAJ Open Access (DOAJ) DOI: 10.3389/fbinf.2026.1893206

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

Psychological impacts of AI-induced job displacement among Indian IT professionals: a Delphi-validated thematic analysis

Vinod Sharma, Saikat Deb, Yogesh Mahajan, Avishek Ghosal et al. • International Journal of Qualitative Studies on Health & Well-Being (2025)

Purpose This study investigates the psychological impact of Artificial Intelligence (AI)-driven job displacement among Indian IT professionals. It specifically explores how individuals psychologically experience the loss of roles due to aut...

DOAJ Open Access (DOAJ) DOI: 10.1080/17482631.2025.2556445

A meta-analysis of the relation between math anxiety and math achievement.

Connie Barroso, Colleen M. Ganley, Amanda L. McGraw, Elyssa A. Geer et al. • Psychological Bulletin (2020)

Meta-analyses from the 1990s have previously established a significant, small-to-moderate, and negative correlation between math achievement and math anxiety. Since these publications, research has continued to investigate this relation wit...

OPENALEX other-oa DOI: https://doi.org/10.1037/bul0000307 PMC: 8300863