Artificial Intelligence Medical Compendium

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

Showing 3,151 to 3,160 of 168,416 articles

TAlignDiff: Automatic Tooth Alignment assisted by Diffusion-based Transformation Learning

arXiv Aug 6, 2025
Orthodontic treatment hinges on tooth alignment, which significantly affects occlusal function, facial aesthetics, and patients' quality of life. Current deep learning approaches predominantly concentrate on predicting transformation matrices throu... read more 
Computer Vision and Pattern Recognition

Decoding Covert Visual Attention in Space and Time from Neural Signals.

Annual review of vision science Aug 6, 2025
Visual attention prioritizes relevant stimuli in complex environments through top-down (goal-directed) and bottom-up (stimulus-driven) mechanisms within cortical networks. This review explores the neural mechanisms underlying visual attention, focusi... read more 

Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation

arXiv Aug 6, 2025
Multimodal Recommender Systems aim to improve recommendation accuracy by integrating heterogeneous content, such as images and textual metadata. While effective, it remains unclear whether their gains stem from true multimodal understanding or incr... read more 
Information Retrieval Computation and Language Machine Learning

Multivideo Models for Classifying Hand Impairment After Stroke Using Egocentric Video.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 6, 2025
OBJECTIVES: After stroke, hand function assessments are used as outcome measures to evaluate new rehabilitation therapies, but do not reflect true performance in natural environments. Wearable (egocentric) cameras provide a way to capture hand functi... read more 

Benchmarking Foundation Models for Mitotic Figure Classification

arXiv Aug 6, 2025
The performance of deep learning models is known to scale with data quantity and diversity. In pathology, as in many other medical imaging domains, the availability of labeled images for a specific task is often limited. Self-supervised learning te... read more 
Computer Vision and Pattern Recognition

Measuring Information Richness in Product Images: Implications for Online Sales

arXiv Aug 6, 2025
A common challenge for e-commerce sellers is to decide what product images to display on online shopping sites. In this paper, we propose and validate a novel metric, k-value, to quantify the information richness of an image set, and we further inv... read more 
Human-Computer Interaction

Altered gray matter morphometry in psychogenic erectile dysfunction patients: A Surface-based morphometry study.

Scientific reports Aug 6, 2025
Psychogenic erectile dysfunction (pED) is a prevalent male sexual dysfunction lacking organic etiology. Endeavors have been made in previous studies to disclose the brain pathological mechanisms of pED. However, the cortical morphological characteris... read more 
Adult Male Humans Magnetic Resonance Imaging Gray Matter Erectile Dysfunction Middle Aged Case-Control Studies

Artificial intelligence in drug design: why a 'one-size-fits-all' approach remains out of reach.

Expert opinion on drug discovery Aug 6, 2025
INTRODUCTION: Advances in artificial intelligence (AI) have transformed the drug design and discovery process, introducing novel methods that can reduce costs, increase success rates, and shorten development timelines. However, due to the complexity ... read more 

Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens

arXiv Aug 6, 2025
We propose a method to extend foundational monocular depth estimators (FMDEs), trained on perspective images, to fisheye images. Despite being trained on tens of millions of images, FMDEs are susceptible to the covariate shift introduced by changes... read more 
Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning

Exactly simulating stochastic chemical reaction networks in sub-constant time per reaction

arXiv Aug 6, 2025
The model of chemical reaction networks is among the oldest and most widely studied and used in natural science. The model describes reactions among abstract chemical species, for instance $A + B \to C$, which indicates that if a molecule of type $... read more 
Data Structures and Algorithms
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