Artificial Intelligence Medical Compendium

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

Showing 58,751 to 58,760 of 227,634 articles

Student Mental Health Screening via Fitbit Data Collected During the COVID-19 Pandemic

arXiv Jan 22, 2026
College students experience many stressors, resulting in high levels of anxiety and depression. Wearable technology provides unobtrusive sensor data that can be used for the early detection of mental illness. However, current research is limited conc... read more 
Machine Learning

FeTTL: Federated Template and Task Learning for Multi-Institutional Medical Imaging

arXiv Jan 22, 2026
Federated learning enables collaborative model training across geographically distributed medical centers while preserving data privacy. However, domain shifts and heterogeneity in data often lead to a degradation in model performance. Medical imagin... read more 
Computer Vision and Pattern Recognition

GR3EN: Generative Relighting for 3D Environments

arXiv Jan 22, 2026
We present a method for relighting 3D reconstructions of large room-scale environments. Existing solutions for 3D scene relighting often require solving under-determined or ill-conditioned inverse rendering problems, and are as such unable to produce... read more 
Computer Vision and Pattern Recognition

Masked Modeling for Human Motion Recovery Under Occlusions

arXiv Jan 22, 2026
Human motion reconstruction from monocular videos is a fundamental challenge in computer vision, with broad applications in AR/VR, robotics, and digital content creation, but remains challenging under frequent occlusions in real-world settings. Exist... read more 
Computer Vision and Pattern Recognition

A Computer Vision Pipeline for Iterative Bullet Hole Tracking in Rifle Zeroing

arXiv Jan 22, 2026
Adjusting rifle sights, a process commonly called "zeroing," requires shooters to identify and differentiate bullet holes from multiple firing iterations. Traditionally, this process demands physical inspection, introducing delays due to range safety... read more 
Computer Vision and Pattern Recognition cs.AI

Radiogenomics: Current Understandings and Future Perspectives.

MedComm Jan 22, 2026
Radiogenomics is a rapidly developing field that links radiological image features (radiomics) to genomic-level data (genomics, transcriptomics, and epigenomics), addressing the limitations of single-omic approaches. Radiomics provides a noninvasive ... read more 

scACAN: An Adaptive Learning Framework Aggregating Local Graph Structure Context for Rare Cell Type Identification.

Journal of chemical information and modeling Jan 22, 2026
Single-cell RNA sequencing (scRNA-seq) technology has become an essential tool for dissecting cellular heterogeneity and elucidating complex biological systems. Nevertheless, the uneven distribution of cell types and the limited representation of rar... read more 

The evaluation of DUNE: a U-Net-based neural network to denoise multi-echo fMRI data.

NeuroImage Jan 22, 2026
Task based fMRI data suffers from scanner and physiologic noise. Consequently, finding the task based BOLD responses out of the noise is challenging. To improve the power to detect the BOLD responses, multi-echo (ME) fMRI combined with ICA based deno... read more 

Skywork UniPic 3.0: Unified Multi-Image Composition via Sequence Modeling

arXiv Jan 22, 2026
The recent surge in popularity of Nano-Banana and Seedream 4.0 underscores the community's strong interest in multi-image composition tasks. Compared to single-image editing, multi-image composition presents significantly greater challenges in terms ... read more 
Computer Vision and Pattern Recognition cs.AI

Evolving Without Ending: Unifying Multimodal Incremental Learning for Continual Panoptic Perception

arXiv Jan 22, 2026
Continual learning (CL) is a great endeavour in developing intelligent perception AI systems. However, the pioneer research has predominantly focus on single-task CL, which restricts the potential in multi-task and multimodal scenarios. Beyond the we... read more 
Computer Vision and Pattern Recognition
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