Artificial Intelligence Medical Compendium

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

Showing 3,521 to 3,530 of 168,679 articles

Advanced Multi-Architecture Deep Learning Framework for BIRADS-Based Mammographic Image Retrieval: Comprehensive Performance Analysis with Super-Ensemble Optimization

arXiv Aug 6, 2025
Content-based mammographic image retrieval systems require exact BIRADS categorical matching across five distinct classes, presenting significantly greater complexity than binary classification tasks commonly addressed in literature. Current medica... read more 
Image and Video Processing Computer Vision and Pattern Recognition Machine Learning

Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off

arXiv Aug 6, 2025
Virtual try-on aims to synthesize a realistic image of a person wearing a target garment, but accurately modeling garment-body correspondence remains a persistent challenge, especially under pose and appearance variation. In this paper, we propose ... read more 
Graphics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning

Toward Errorless Training ImageNet-1k

arXiv Aug 6, 2025
In this paper, we describe a feedforward artificial neural network trained on the ImageNet 2012 contest dataset [7] with the new method of [5] to an accuracy rate of 98.3% with a 99.69 Top-1 rate, and an average of 285.9 labels that are perfectly c... read more 
Computer Vision and Pattern Recognition Machine Learning 68T07

Current applications of deep learning in vertebral fracture diagnosis.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Aug 6, 2025
Deep learning is a machine learning method that mimics neural networks to build decision-making models. Recent advances in computing power and algorithms have enhanced deep learning's potential for vertebral fracture diagnosis in medical imaging. The... read more 

CoMAD: A Multiple-Teacher Self-Supervised Distillation Framework

arXiv Aug 6, 2025
Numerous self-supervised learning paradigms, such as contrastive learning and masked image modeling, learn powerful representations from unlabeled data but are typically pretrained in isolation, overlooking complementary insights and yielding large... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

DocVCE: Diffusion-based Visual Counterfactual Explanations for Document Image Classification

arXiv Aug 6, 2025
As black-box AI-driven decision-making systems become increasingly widespread in modern document processing workflows, improving their transparency and reliability has become critical, especially in high-stakes applications where biases or spurious... read more 
Computer Vision and Pattern Recognition

Towards Globally Predictable k-Space Interpolation: A White-box Transformer Approach

arXiv Aug 6, 2025
Interpolating missing data in k-space is essential for accelerating imaging. However, existing methods, including convolutional neural network-based deep learning, primarily exploit local predictability while overlooking the inherent global depende... read more 
Computer Vision and Pattern Recognition Optimization and Control

A Comprehensive Framework for Uncertainty Quantification of Voxel-wise Supervised Models in IVIM MRI

arXiv Aug 6, 2025
Accurate estimation of intravoxel incoherent motion (IVIM) parameters from diffusion-weighted MRI remains challenging due to the ill-posed nature of the inverse problem and high sensitivity to noise, particularly in the perfusion compartment. In th... read more 
Image and Video Processing Artificial Intelligence Machine Learning

INTENTION: Inferring Tendencies of Humanoid Robot Motion Through Interactive Intuition and Grounded VLM

arXiv Aug 6, 2025
Traditional control and planning for robotic manipulation heavily rely on precise physical models and predefined action sequences. While effective in structured environments, such approaches often fail in real-world scenarios due to modeling inaccu... read more 
Robotics Artificial Intelligence

Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Scientific reports Aug 6, 2025
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t... read more 
Humans Female Child Infant Machine Learning Early Diagnosis Algorithms Bayes Theorem Young Adult Adolescent Mucopolysaccharidoses Retrospective Studies Male Child, Preschool Electronic Health Records
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