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Meta-surface plasmon resonance microscopy for sensitive, high-throughput, and long-term label-free analysis of cell adhesion dynamics

Mingqian Chen, Wen Li, Taoyu Hu, Jiaxiang Chang et al. • Journal of Nanobiotechnology (2025)

Abstract Quantitative, label-free monitoring of dynamic cell adhesion remains challenging. Meta-Surface Plasmon Resonance Microscopy (Meta-SPRM) is a novel platform integrating bright-field microscopy with engineered Meta-SPR nanocup arrays...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12951-025-03828-7

<bold>CroSSHeteroFL</bold>: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients

Vo Phuc Tinh, Hoang Hai Son, Nguyen Hoang Nam, Duc Ngoc Minh Dang et al. • IEEE Access (2024)

In the large-scale deployment of federated learning (FL) systems, the heterogeneity of clients, such as mobile phones and Internet of Things (IoT) devices with different configurations, constitutes a significant problem regarding fairness, ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3475737

AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening

Rui-Fang Lu, Chao-Yin She, Dan-Ni He, Mei-Qing Cheng et al. • npj Digital Medicine (2025)

Abstract Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and the workload of radiologists. This retrospective, multicenter study assessed four artificial intelligence (AI) enhanced strategies us...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-025-01892-9

Cost-Effective Design, Content Management System Implementation and Artificial Intelligence Support of Greek Government AADE, myDATA Web Service for Generic Government Infrastructure, a Complete Analysis

George Tsamis, Georgios Evangelos, Aris Papakostas, Giannis Vassiliou et al. • Algorithms (2025)

One significant digital initiative that is changing Greece’s tax environment is the myDATA platform. The platform, which is a component of the wider digital governance agenda, provides significant added value to enterprises and the tax admi...

DOAJ Open Access (DOAJ) DOI: 10.3390/a18060339

Artificial Intelligence in Pathology

Hye Yoon Chang, Chan Kwon Jung, Junwoo Isaac Woo, Sang-Hun Lee et al. • Journal of Pathology and Translational Medicine (2018)

As in other domains, artificial intelligence is becoming increasingly important in medicine. In particular,deep learning-based pattern recognition methods can advance the field of pathology byincorporating clinical, radiologic, and genomic ...

OPENALEX cc-by-nc DOI: https://doi.org/10.4132/jptm.2018.12.16 PMC: 6344799

Large language model bias auditing for periodontal diagnosis using an ambiguity-probe methodology: a pilot study

Teerachate Nantakeeratipat • Frontiers in Digital Health (2026)

BackgroundLarge Language Models (LLMs) in healthcare holds immense promise yet carries the risk of perpetuating social biases. While artificial intelligence (AI) fairness is a growing concern, a gap exists in understanding how these models ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1687820

Artificial Intelligence-Driven Salivary Biomarkers for Detection and Risk Stratification of Oral Potentially Malignant Disorders and OSCC: A Protocol for a Systematic Review

Shazia Fathima J.H, Mohammed Sibgatullah, Mohmed Isaqali Karobari • International Journal of Qualitative Methods (2026)

Objective This systematic review protocol aims to synthesize evidence on artificial intelligence-driven analysis of salivary biomarkers for the detection, risk stratification and differentiation of OPMDs and OSCC, with particular attention ...

DOAJ Open Access (DOAJ) DOI: 10.1177/16094069261504893

Artificial intelligence revolutionizing anesthesia management: advances and prospects in intelligent anesthesia technology

Yannan Cao, Yixin Wang, Hang Liu, Lei Wu • Frontiers in Medicine (2025)

With the development of artificial intelligence (AI), AI-related technologies are being applied in many fields of medicine. Anesthesia is now widely used in surgery, emergency resuscitation, pain treatment and other fields. However, differe...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2025.1571725

Deep nested U-structure network with frequency attention for building semantic segmentation

Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu et al. • Scientific Reports (2025)

Abstract The automated segmentation of buildings from remotely sensed imagery has undergone extensive research and application across various industrial domains. Despite this, several challenges persist, including incomplete internal extrac...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-13890-8

Sex-based differences in characteristics, management, and outcomes in heart failure with reduced ejection fraction

Christian Basile, Stefan D. Anker, Gianluigi Savarese • Global Cardiology (2025)

Heart failure with reduced ejection fraction (HFrEF) exhibits significant sex-based differences in clinical presentation, management, and outcomes. This study aimed to evaluate these differences using data from the Swedish Heart Failure Reg...

DOAJ Open Access (DOAJ) DOI: 10.4081/cardio.2025.73

Artificial intelligence in diagnostic pathology

Saba Shafi, Anil Vasdev Parwani • Diagnostic Pathology (2023)

Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis. The practice of diagnostic pathology has gone through a staggering transformation wherei...

OPENALEX cc-by DOI: https://doi.org/10.1186/s13000-023-01375-z PMC: 10546747

The Cambridge Handbook of Artificial Intelligence

Alonso, E. • Cambridge University Press eBooks (2014)

Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other are...

OPENALEX Open Access DOI: https://doi.org/10.1017/cbo9781139046855

Artificial Intelligence in Advertising

Jan Kietzmann, Jeannette Paschen, Emily Treen • Journal of Advertising Research (2018)

The task of understanding the consumer journey increasingly is complex. Consumers express their needs and wants, attitudes, and values in various forms (through search, comments, blogs, Tweets, “likes,” videos, and conversations) and across...

OPENALEX DOI: https://doi.org/10.2501/jar-2018-035