Artificial Intelligence Medical Compendium

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

Showing 48,721 to 48,730 of 224,513 articles

Neurofeedback for autism spectrum disorder: Current evidence, challenges, and future directions.

World journal of psychiatry
Neurofeedback therapy (NFT) has emerged as a promising noninvasive intervention for autism spectrum disorder (ASD), targeting core symptoms such as social communication deficits and emotional dysregulation. This editorial synthesizes findings from re... read more 

A bioinspired vision-based airflow sensing architecture for flow-guided robotic control.

Bioinspiration & biomimetics
Flow sensing is fundamental to both animals and robots for navigation, stability, and interaction with the environment. While animals achieve this through specialised mechanosensory structures, flow-guided autonomy in robotics remains underdeveloped ... read more 

Performance Analysis of Deep Learning Models for Segmentation of Carotid Artery Vessel Wall in 3D-MERGE Images.

The Indian journal of radiology & imaging
BACKGROUND: Carotid vessel wall segmentation and determination of the lumen area are crucial for the diagnosis of atherosclerosis. U-Net-based deep learning models have been investigated for carotid vessel wall segmentation in magnetic resonance imag... read more 

DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers

arXiv
Diffusion Transformers (DiTs) have achieved state-of-the-art performance in image and video generation, but their success comes at the cost of heavy computation. This inefficiency is largely due to the fixed tokenization process, which uses constant-... read more 

Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods

arXiv
Scientific discovery pipelines typically involve complex, rigid, and time-consuming processes, from data preparation to analyzing and interpreting findings. Recent advances in AI have the potential to transform such pipelines in a way that domain exp... read more 

PartRAG: Retrieval-Augmented Part-Level 3D Generation and Editing

arXiv
Single-image 3D generation with part-level structure remains challenging: learned priors struggle to cover the long tail of part geometries and maintain multi-view consistency, and existing systems provide limited support for precise, localized edits... read more 

Amber-Image: Efficient Compression of Large-Scale Diffusion Transformers

arXiv
Diffusion Transformer (DiT) architectures have significantly advanced Text-to-Image (T2I) generation but suffer from prohibitive computational costs and deployment barriers. To address these challenges, we propose an efficient compression framework t... read more 

StructCore: Structure-Aware Image-Level Scoring for Training-Free Unsupervised Anomaly Detection

arXiv
Max pooling is the de facto standard for converting anomaly score maps into image-level decisions in memory-bank-based unsupervised anomaly detection (UAD). However, because it relies on a single extreme response, it discards most information about h... read more 

Cholec80-port: A Geometrically Consistent Trocar Port Segmentation Dataset for Robust Surgical Scene Understanding

arXiv
Trocar ports are camera-fixed, pseudo-static structures that can persistently occlude laparoscopic views and attract disproportionate feature points due to specular, textured surfaces. This makes ports particularly detrimental to geometry-based downs... read more