Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,311 to 1,320 of 6,800 articles

Determination of the oral carcinoma and sarcoma in contrast enhanced CT images using deep convolutional neural networks.

Scientific reports Jul 1, 2025
Oral cancer is a hazardous disease and a major cause of morbidity and mortality worldwide. The purpose of this study was to develop the deep convolutional neural networks (CNN)-based multiclass classification and object detection models for distingui... read more 
Neural Networks, Computer Tomography, X-Ray Computed Humans Contrast Media Mouth Neoplasms Convolutional Neural Networks Deep Learning Sarcoma

Multiscale wavelet attention convolutional network for facial expression recognition.

Scientific reports Jul 1, 2025
Deep learning techniques, particularly Convolutional Neural Networks (CNNs), have been widely recognized as effective tools for facial expression recognition applications. The accuracy of facial expression recognition application requires further enh... read more 
Humans Neural Networks, Computer Automated Facial Recognition Wavelet Analysis Facial Expression Deep Learning

Leveraging an ensemble of EfficientNetV1 and EfficientNetV2 models for classification and interpretation of breast cancer histopathology images.

Scientific reports Jul 1, 2025
Breast cancer is the second leading cause of cancer-related deaths among women, following lung cancer, as of 2024. Conventional cancer diagnosis relies on the manual examination of biopsied tissues by pathologists, a time-consuming process that may v... read more 
Diagnosis, Computer-Assisted Breast Neoplasms Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Neural Networks, Computer Female Humans

A merged fuzzy system and neural network for improving management method and strategy in scientific research and education.

Scientific reports Jul 1, 2025
In recent years, integrating artificial intelligence into scientific management in education has transformed traditional methodologies, offering new avenues for personalized learning and efficient resource allocation. This paper proposes a method tha... read more 

ICKAN: A deep musical instrument classification model incorporating Kolmogorov-Arnold network.

Scientific reports Jul 1, 2025
Musical instrument classification, as a fundamental task in music information retrieval (MIR), has broad applications in music analysis, education, and content management. However, existing research primarily focuses on short monophonic samples for c... read more 

Muscle-Driven prognostication in gastric cancer: A multicenter deep learning framework integrating Iliopsoas and erector spinae radiomics for 5-Year survival prediction.

Scientific reports Jul 1, 2025
This study developed a 5-year survival prediction model for gastric cancer patients by combining radiomics and deep learning, focusing on CT-based 2D and 3D features of the iliopsoas and erector spinae muscles. Retrospective data from 705 patients ac... read more 
Radiomics Tomography, X-Ray Computed Prognosis Psoas Muscles Aged Female Deep Learning Male Middle Aged Paraspinal Muscles Stomach Neoplasms Retrospective Studies Humans

Profiling short-term longitudinal severity progression and associated genes in COVID-19 patients using EHR and single-cell analysis.

Scientific reports Jul 1, 2025
Here we propose CovSF, a deep learning model designed to track and forecast short-term severity progression of COVID-19 patients using longitudinal clinical records. The motivation stems from the need for timely medical resource allocation, improved ... read more 
SARS-CoV-2 Deep Learning COVID-19 Disease Progression Transcriptome Single-Cell Analysis Female Longitudinal Studies Electronic Health Records Severity of Illness Index Humans Middle Aged Male Aged

Acoustic impedance inversion via voting stacked regression (VStaR) algorithms.

Scientific reports Jul 1, 2025
In this study, we focused on improving acoustic impedance (AI) in seismic exploration. AI is a crucial parameter estimated by multiplying the density of a material by the velocity of an acoustic wave passing through it. A low AI in sandstones and car... read more 

CFM-UNet: coupling local and global feature extraction networks for medical image segmentation.

Scientific reports Jul 1, 2025
In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conversely, Mamba, a novel network framework, effectively captures long-range feature dependencies and e... read more 
Neural Networks, Computer Algorithms Humans Liver Colonic Polyps Image Processing, Computer-Assisted Liver Neoplasms

EFCNet for small object detection in remote sensing images.

Scientific reports Jul 1, 2025
Object detection, as a crucial component of remote sensing image processing, has become one of the primary methods with the maturation of deep learning technologies. Nonetheless, detecting small objects in remote sensing images remains a significant ... read more 
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