Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 341 to 350 of 158,269 articles
Diabetic retinopathy detection using adaptive deep convolutional neural networks on fundus images.
Scientific reports
Jul 9, 2025
Diabetic retinopathy (DR) is an age-related macular degeneration eye disease problem that causes pathological changes in the retinal neural and vascular system. Recently, fundus imaging is a popular technology and widely used for clinical diagnosis, ...
The unwell patient with advanced chronic liver disease: when to use each score?
BMC medicine
Jul 9, 2025
BACKGROUND: Prognostication in chronic liver disease and the implementation of appropriate scoring systems is difficult given the variety of clinical manifestations. It is important to understand the limitations of each scoring system as well as the ...
Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults.
Scientific reports
Jul 9, 2025
Multimorbidity has emerged as a significant public health issue in the context of global population aging. Predicting and managing the progression of multimorbidity in the elderly population is crucial. This study aims to develop predictive models fo...
Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection.
IEEE transactions on neural networks and learning systems
Jul 9, 2025
Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, posing a significant obstacle for their open-world deployment. Du...
Predicting the prognosis of radical gastrectomy for patients with locally advanced gastric cancer after neoadjuvant chemotherapy using machine learning technology: a multicenter study in China.
Surgical endoscopy
Jul 9, 2025
BACKGROUND: Neoadjuvant chemotherapy (NAC) can improve the prognosis of patients with locally advanced gastric cancer (LAGC). However, precise models for accurate prognostic predictions are lacking. We aimed to utilize Cox regression and integrate va...
Evolution of CT perfusion software in stroke imaging: from deconvolution to artificial intelligence.
European radiology
Jul 9, 2025
Computed tomography perfusion (CTP) represents one of the main determinants in the decision-making strategy of stroke patients, being very useful in triaging these patients. The aim of this review is to describe the current knowledge and the future a...
The role of metabolism in shaping enzyme structures over 400 million years.
Nature
Jul 9, 2025
Advances in deep learning and AlphaFold2 have enabled the large-scale prediction of protein structures across species, opening avenues for studying protein function and evolution. Here we analyse 11,269 predicted and experimentally determined enzyme ...
Deep learning for predicting myopia severity classification method.
Biomedical engineering online
Jul 9, 2025
BACKGROUND: Myopia is a major cause of vision impairment. To improve the efficiency of myopia screening, this paper proposes a deep learning model, X-ENet, which combines the advantages of depthwise separable convolution and dynamic convolution to cl...
Deep learning-based automatic detection and grading of disk herniation in lumbar magnetic resonance images.
Scientific reports
Jul 9, 2025
Magnetic resonance imaging of the lumbar spine is a key technique for clarifying the cause of disease. The greatest challenges today are the repetitive and time-consuming process of interpreting these complex MR images and the problem of unequal diag...
Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units.
Scientific reports
Jul 9, 2025
Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialize...
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