Artificial Intelligence Medical Compendium

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

Showing 4,061 to 4,070 of 173,463 articles

Fine-grained Image Quality Assessment for Perceptual Image Restoration

arXiv Aug 20, 2025
Recent years have witnessed remarkable achievements in perceptual image restoration (IR), creating an urgent demand for accurate image quality assessment (IQA), which is essential for both performance comparison and algorithm optimization. Unfortun... read more 
Image and Video Processing Computer Vision and Pattern Recognition Multimedia

Topology-Aware Volume Fusion for Spectral Computed Tomography via Histograms and Extremum Graph

arXiv Aug 20, 2025
Photon-Counting Computed Tomography (PCCT) is a novel imaging modality that simultaneously acquires volumetric data at multiple X-ray energy levels, generating separate volumes that capture energy-dependent attenuation properties. Attenuation refer... read more 
Human-Computer Interaction

Img2ST-Net: Efficient High-Resolution Spatial Omics Prediction from Whole Slide Histology Images via Fully Convolutional Image-to-Image Learning

arXiv Aug 20, 2025
Recent advances in multi-modal AI have demonstrated promising potential for generating the currently expensive spatial transcriptomics (ST) data directly from routine histology images, offering a means to reduce the high cost and time-intensive nat... read more 
Computer Vision and Pattern Recognition

ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine

arXiv Aug 20, 2025
Despite the success of large language models (LLMs) in various domains, their potential in Traditional Chinese Medicine (TCM) remains largely underexplored due to two critical barriers: (1) the scarcity of high-quality TCM data and (2) the inherent... read more 
Computation and Language Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning Multimedia

ECHO: Frequency-aware Hierarchical Encoding for Variable-length Signal

arXiv Aug 20, 2025
Pre-trained foundation models have demonstrated remarkable success in vision and language, yet their potential for general machine signal modeling-covering acoustic, vibration, and other industrial sensor data-remains under-explored. Existing appro... read more 
Sound Artificial Intelligence Machine Learning Audio and Speech Processing

Detecting Reading-Induced Confusion Using EEG and Eye Tracking

arXiv Aug 20, 2025
Humans regularly navigate an overwhelming amount of information via text media, whether reading articles, browsing social media, or interacting with chatbots. Confusion naturally arises when new information conflicts with or exceeds a reader's comp... read more 
Human-Computer Interaction Artificial Intelligence

Visual language transformer framework for multimodal dance performance evaluation and progression monitoring.

Scientific reports Aug 20, 2025
Dance is often perceived as complex due to the need for coordinating multiple body movements and precisely aligning them with musical rhythm and content. Research in automatic dance performance assessment has the potential to enhance individuals' sen... read more 
Dancing Language Psychomotor Performance Music Humans Neural Networks, Computer

Deep learning approach for screening neonatal cerebral lesions on ultrasound in China.

Nature communications Aug 20, 2025
Timely and accurate diagnosis of severe neonatal cerebral lesions is critical for preventing long-term neurological damage and addressing life-threatening conditions. Cranial ultrasound is the primary screening tool, but the process is time-consuming... read more 
Humans China Brain Ultrasonography Female Infant, Newborn Neonatal Screening Male Deep Learning

DINOv3 with Test-Time Training for Medical Image Registration

arXiv Aug 20, 2025
Prior medical image registration approaches, particularly learning-based methods, often require large amounts of training data, which constrains clinical adoption. To overcome this limitation, we propose a training-free pipeline that relies on a fr... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

Prediction of antibiotic resistance from antibiotic susceptibility testing results from surveillance data using machine learning.

Scientific reports Aug 20, 2025
Antimicrobial resistance is a growing global health threat, and artificial intelligence offers a promising avenue for developing advanced tools to address this challenge. In this study, we applied various machine learning techniques to predict bacter... read more 
Microbial Sensitivity Tests Genotype Bacteria Humans Machine Learning Anti-Bacterial Agents Drug Resistance, Bacterial Phenotype
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