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A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report Generation.
IEEE journal of biomedical and health informatics
Apr 4, 2025
Electroencephalography (EEG) plays a crucial role in the diagnosis of various neurological disorders. However, small hospitals and clinics often lack advanced EEG signal analysis systems and are prone to misinterpretation in manual EEG reading. This ...
Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression.
IEEE transactions on neural networks and learning systems
Apr 4, 2025
Alzheimer's disease (AD) is a devastating neurodegenerative condition that precedes progressive and irreversible dementia; thus, predicting its progression over time is vital for clinical diagnosis and treatment. For this, numerous studies have imple...
Machine learning based association between inflammation indicators (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality in arthritis patients with hypertension: NHANES 1999-2018.
Frontiers in public health
Apr 4, 2025
BACKGROUND: This study aimed to evaluate the relationship between CBC-derived inflammatory markers (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality (ACM) risk in arthritis (AR) patients with hypertensive (HTN) using data from the NHANES.
Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model.
Frontiers in public health
Apr 4, 2025
INTRODUCTION: This study investigates the potential of a deep learning-based Life Log Sharing Model (LLSM) to enhance adolescent physical fitness and exercise behaviors through personalized public health interventions.
Early detection of esophageal cancer: Evaluating AI algorithms with multi-institutional narrowband and white-light imaging data.
PloS one
Apr 4, 2025
Esophageal cancer is one of the most common cancers worldwide, especially esophageal squamous cell carcinoma, which is often diagnosed at a late stage and has a poor prognosis. This study aimed to develop an algorithm to detect tumors in esophageal e...
Direct-acting antivirals (DAA) positively affect depression and cognitive function in patients with chronic hepatitis C.
PloS one
Apr 4, 2025
The aim of the study was to determine how depression and cognitive dysfunction in patients with chronic hepatitis C virus (HCV) infection are affected by treatment with direct-acting antivirals (DAA). Fifty-two chronic hepatitis C patients underwent ...
Prediction of remission of pharmacologically treated psychotic depression: A machine learning approach.
Journal of affective disorders
Apr 3, 2025
BACKGROUND: The combination of antidepressant and antipsychotic medication is an effective treatment for major depressive disorder with psychotic features ('psychotic depression'). The present study aims to identify sociodemographic and clinical pred...
Multimodal depression recognition and analysis: Facial expression and body posture changes via emotional stimuli.
Journal of affective disorders
Apr 3, 2025
BACKGROUND: Clinical studies have shown that facial expressions and body posture in depressed patients differ significantly from those of healthy individuals. Combining relevant behavioral features with artificial intelligence technology can effectiv...
Evaluating artificial intelligence in decision-making for surgical treatment of benign breast conditions.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Apr 3, 2025
INTRODUCTION: Determining the ideal surgical strategy for breast pathologies can sometimes be challenging, in particular if personalized solutions are required. Moreover, acquiring the necessary expertise takes years. Artificial intelligence (AI) may...
Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model.
Computers in biology and medicine
Apr 3, 2025
OBJECTIVE: Sub-optimal uterine-placental perfusion and fetal nutrition can lead to intrauterine growth restriction (IUGR), also called fetal growth restriction (FGR). Antenatal cardiotocography (CTG) can aid in the early detection of IUGR. Reliably d...
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