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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection.
Scientific reports
Jul 1, 2025
Schizophrenia is a mental disorder characterized by hallucinations, delusions, disorganized thinking and behavior, and inappropriate affect. Early and accurate diagnosis of schizophrenia remains a challenge due to the disorder's complex nature and th...
Comparing ChatGPT and validated questionnaires in assessing loneliness and online social support among college students: a cross-sectional study.
Scientific reports
Jul 1, 2025
The capability of ChatGPT to understand and generate human-readable text has prompted the investigation of its potential as mental health assessment tools. This study aims to explore the validity of ChatGPT in assessing loneliness and online social s...
Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach.
Scientific reports
Jul 1, 2025
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, perception, emotions, speech, self-awareness, and actions. Affecting about 1% of people worldwide, schizophrenia usually emerges in late adolescence or e...
STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG.
Scientific reports
Jul 1, 2025
Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges (IEDs). Clinical MEG analysis in epileptic patients traditionally relies on the visual identification of IEDs, which is time consuming and partially ...
The effects of robot anthropomorphic characteristics on employees' anti-robot sabotage.
Scientific reports
Jul 1, 2025
Robot anthropomorphic characteristics have not only been widely manifested in production practices, but their positive effects on human-robot interaction have also been investigated and validated in academic research. Nonetheless, existing research h...
Personalized prediction model generated with machine learning for kidney function one year after living kidney donation.
Scientific reports
Jul 1, 2025
Living kidney donors typically experience approximately a 30% reduction in kidney function after donation, although the degree of reduction varies among individuals. This study aimed to develop a machine learning (ML) model to predict serum creatinin...
LLM-generated messages can persuade humans on policy issues.
Nature communications
Jul 1, 2025
The emergence of large language models (LLMs) has made it possible for generative artificial intelligence (AI) to tackle many higher-order cognitive tasks, with critical implications for industry, government, and labor markets. Here, we investigate w...
Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides.
Nature communications
Jul 1, 2025
Accurate risk stratification is critical for guiding treatment decisions in early breast cancer. We present an artificial intelligence (AI)-based tool that analyzes digitized tumor slides to predict 5-year metastasis-free survival (MFS) in patients w...
Enhanced role of the entorhinal cortex in adapting to increased working memory load.
Nature communications
Jul 1, 2025
In daily life, we frequently encounter varying demands on working memory (WM), yet how the brain adapts to high WM load remains unclear. To address this question, we recorded intracranial EEG from hippocampus, entorhinal cortex (EC), and lateral temp...
FPGA implementation of deep learning architecture for ankylosing spondylitis detection from MRI.
Scientific reports
Jul 1, 2025
Ankylosing Spondylitis (AS), commonly known as Bechterew's disease, is a complex, potentially disabling disease that develops slowly over time and progresses to radiographic sacroiliitis. The etiology of this disease is poorly understood, making it d...
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