Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 201 to 210 of 6,548 articles
A novel dual-student reverse knowledge distillation method for magnetic tile defect detection.
Scientific reports
Jul 26, 2025
Magnetic tiles surface defect detection is crucial in industrial production. However, it is difficult to effectively detect and locate defective areas in magnetic tiles due to the following problems: (1) The defect texture of the magnetic tile materi... read more
Optimization of concrete with human hair using experimental study and artificial neural network via response surface methodology and ANOVA.
Scientific reports
Jul 26, 2025
The increasing demand for sustainable construction materials has prompted the investigation of non-biodegradable waste, such as human hair (HH), for concrete reinforcement. This study seeks to evaluate the impact of HH fiber on the fresh, physical, a... read more
A novel hybrid deep learning approach combining deep feature attention and statistical validation for enhanced thyroid ultrasound segmentation.
Scientific reports
Jul 26, 2025
An effective diagnosis system and suitable treatment planning require the precise segmentation of thyroid nodules in ultrasound imaging. The advancement of imaging technologies has not resolved traditional imaging challenges, which include noise issu... read more
Deep learning application to hyphae and spores identification in fungal fluorescence images.
Scientific reports
Jul 26, 2025
This study explores the application of deep learning to fungal disease diagnosis, focusing on an automated detection system for hyphae and spores in clinical samples. This study employs a combination of the YOLOX and MobileNet V2 models to analyze fu... read more
A machine learning optimized Dielectric Ultra-focused Oscillatory (DUO) electrode for low temperature electrosurgery.
Scientific reports
Jul 26, 2025
The widespread adoption of radio frequency (RF) energy has made electrosurgery a cornerstone of modern surgical procedures, primarily due to its ability to minimize blood loss during, or independent of, tissue incision. Among the various electrosurgi... read more
A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study.
Scientific reports
Jul 24, 2025
This study aims to identify depressive risks in elderly individuals with subjective cognitive decline (SCD) and develop a predictive model using machine learning algorithms to enable timely interventions.Data from the 2015 and 2018 waves of the China... read more
Transfer learning with XAI for robust malware and IoT network security.
Scientific reports
Jul 24, 2025
Malware that exploits user privacy has increased in recent decades, and this trend has been linked to shifting international regulations, the expansion of Internet services, and the growth of electronic commerce. Furthermore, it is very challenging t... read more
Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining.
Scientific reports
Jul 24, 2025
Exploring students' cognitive abilities has long been an important topic in education. This study employs data-driven artificial intelligence (AI) models supported by explainability algorithms and PSM causal inference to investigate the factors influ... read more
Predicting mortality risk in Alzheimer's disease using machine learning based on lifestyle and physical activity.
Scientific reports
Jul 24, 2025
Alzheimer's disease (AD), a progressive neurodegenerative disorder, significantly impacts patient survival, prompting the need for accurate prognostic tools. Lifestyle factors and physical activity levels have been identified as critical modifiable r... read more
Hybrid deep learning framework based on EfficientViT for classification of gastrointestinal diseases.
Scientific reports
Jul 24, 2025
GI diseases are one of the leading causes of morbidity and mortality worldwide, and early and accurate diagnosis is considered to be very important. Traditional methods like endoscopy take time and depend majorly on the judgment of the physician. The... read more
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- Neural networks : the official journal of the International Neural Network Society 3026
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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