Artificial Intelligence Medical Compendium

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

Showing 54,151 to 54,160 of 225,930 articles

Artificial Intelligence Applications in Periodontology: Enhancing Diagnosis, Monitoring, and Treatment in Clinical Practice.

Dental clinics of North America
While potentially revolutionary, the application of artificial intelligence (AI) in periodontology is in its early stages of development. AI tools hold promise in diagnosis, risk assessment and of progression, and treatment outcomes of periodontitis ... read more 

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models

arXiv
State Space Models (SSMs) have emerged as efficient alternatives to attention for vision tasks, offering lineartime sequence processing with competitive accuracy. Vision SSMs, however, require serializing 2D images into 1D token sequences along a pre... read more 

Continuous Degradation Modeling via Latent Flow Matching for Real-World Super-Resolution

arXiv
While deep learning-based super-resolution (SR) methods have shown impressive outcomes with synthetic degradation scenarios such as bicubic downsampling, they frequently struggle to perform well on real-world images that feature complex, nonlinear de... read more 

An Intuitionistic Fuzzy Logic Driven UNet architecture: Application to Brain Image segmentation

arXiv
Accurate segmentation of MRI brain images is essential for image analysis, diagnosis of neuro-logical disorders and medical image computing. In the deep learning approach, the convolutional neural networks (CNNs), especially UNet, are widely applied ... read more 

An Improved Boosted DC Algorithm for Nonsmooth Functions with Applications in Image Recovery

arXiv
We propose a new approach to perform the boosted difference of convex functions algorithm (BDCA) on non-smooth and non-convex problems involving the difference of convex (DC) functions. The recently proposed BDCA uses an extrapolation step from the p... read more 

ACIL: Active Class Incremental Learning for Image Classification

arXiv
Continual learning (or class incremental learning) is a realistic learning scenario for computer vision systems, where deep neural networks are trained on episodic data, and the data from previous episodes are generally inaccessible to the model. Exi... read more 

Aortic Valve Disease Detection from PPG via Physiology-Informed Self-Supervised Learning

arXiv
Traditional diagnosis of aortic valve disease relies on echocardiography, but its cost and required expertise limit its use in large-scale early screening. Photoplethysmography (PPG) has emerged as a promising screening modality due to its widespread... read more 

SkeletonGaussian: Editable 4D Generation through Gaussian Skeletonization

arXiv
4D generation has made remarkable progress in synthesizing dynamic 3D objects from input text, images, or videos. However, existing methods often represent motion as an implicit deformation field, which limits direct control and editability. To addre... read more 

Beyond Static Cropping: Layer-Adaptive Visual Localization and Decoding Enhancement

arXiv
Large Vision-Language Models (LVLMs) have advanced rapidly by aligning visual patches with the text embedding space, but a fixed visual-token budget forces images to be resized to a uniform pretraining resolution, often erasing fine-grained details a... read more 

GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning

arXiv
Large foundation models have shown strong open-world generalization to complex problems in vision and language, but similar levels of generalization have yet to be achieved in robotics. One fundamental challenge is that the models exhibit limited zer... read more