Implementing artificial intelligence also requires examinations of public attitudes and perceptions. One approach is by examining media framing of artificial intelligence, including news coverage, which is a reflection of societal perceptions and a key influence over people's understanding. As such, this study examines the framing of communicative artificial intelligence in Singapore, looking at how the news media frame communicative artificial intelligence and characterize it as a social actor. Through a manual content analysis of 336 news articles from three major news websites in Singapore, this study found that the news media in Singapore tend to focus on the benefits and advances of communicative artificial intelligence and portray communicative artificial intelligence as a tool rather than social actor. However, when comparing news coverage of communicative artificial intelligence after the advent of ChatGPT, the news framed communicative artificial intelligence more in terms of risks, regulations, responsibilities, and conflict.
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http://dx.doi.org/10.1177/09636625251317970 | DOI Listing |
Cancer Biol Ther
December 2025
Department of Surgery, Hamad Medical Corporation, Doha, Qatar.
Early and precise diagnosis of cancer is pivotal for effective therapeutic intervention. Traditional diagnostic methods, despite their reliability, often face limitations such as invasiveness, high costs, labor-intensive procedures, extended processing times, and reduced sensitivity for early-stage detection. Electrochemical biosensing is a revolutionary method that provides rapid, cost-effective, and highly sensitive detection of cancer biomarkers.
View Article and Find Full Text PDFJMIR Med Inform
March 2025
Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, No.119 Nansihuanxi Road, Fengtai District, Beijing, 100070, China, 86 17611757717.
Background: Publicly accessible critical care-related databases contain enormous clinical data, but their utilization often requires advanced programming skills. The growing complexity of large databases and unstructured data presents challenges for clinicians who need programming or data analysis expertise to utilize these systems directly.
Objective: This study aims to simplify critical care-related database deployment and extraction via large language models.
Front Immunol
March 2025
Research Laboratory Center, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Background: Breast cancer, a highly prevalent global cancer, poses significant challenges, especially in advanced stages. Prognostic models are crucial to enhance patient outcomes. Tertiary lymphoid structures (TLS) within the tumor microenvironment have been associated with better prognostic outcomes.
View Article and Find Full Text PDFR Soc Open Sci
March 2025
School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW 2006, Australia.
The landscape of artificial intelligence (AI) research is witnessing a transformative shift with the emergence of the Kolmogorov-Arnold network (KAN), presenting a novel architectural paradigm aimed to redefine the structural foundations of AI models, which are based on multilayer perceptron (MLP). Through rigorous experimentation and evaluation, we introduce the KAN-electroencephalogram (EEG) model, a tailored design for efficient seizure detection. Our proposed network is tested and successfully generalized on three different datasets, one from the USA, one from Europe, and one from Oceania, recorded with different front-end hardware.
View Article and Find Full Text PDFNat Sci Sleep
March 2025
Department of Otorhinolaryngology, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, People's Republic of China.
Purpose: Due to the lack of clear screening guidelines for different populations, identify strategies for obstructive sleep apnea (OSA) in the outpatient population are unclear, a large number of potential OSA outpatients have not been identified in time. The purpose of our study was to evaluate the applicability and accuracy of artificial intelligence sleep screening in outpatients and to provide a reference for OSA screening in different populations.
Methods: A type IV wearable artificial intelligence sleep monitoring (AISM) device was used to screen adults in the sleep clinic of the Sleep Medical Center for OSA screening, and the general demographic data of the patients were collected.
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